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Document API Endpoint

SentryOfficialPublished by Sentry

  • Skill
  • Tool integration
  • Software development
  • Apache-2.0
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From the author

Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec. Use when asked to "document an endpoint", "add OpenAPI docs", "add/fix @extend_schema", "type an endpoint response", "fix the response type", "fix type drift", "reuse a response type", "split an overloaded endpoint", "specify the response schema", "add a TypedDict response", "migrate a legacy api-docs path", "fix a parameter type", or "make an endpoint public" / "promote an endpoint" (promotion is one section here).
— the description by Sentry

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to maintaining and updating API documentation for Sentry endpoints. It focuses on ensuring that OpenAPI specifications accurately reflect runtime behavior by aligning @extend_schema decorators and TypedDict definitions with actual API responses. The workflow covers the full lifecycle of endpoint documentation, including migrating legacy JSON-based documentation to code-based schemas, handling type drift, and promoting experimental endpoints to public status.

What it does

  • Configures @extend_schema decorators for class and method-level API documentation.
  • Defines and enforces TypedDict structures to ensure accurate response typing.
  • Identifies and corrects type drift between declared schemas and actual runtime outputs.
  • Migrates legacy static JSON API documentation to dynamic code-based schemas.
  • Guides the promotion of private or experimental endpoints to public status.
  • Provides validation steps to verify documentation against live endpoint behavior.

When to use it

  • When adding or updating OpenAPI documentation for a Sentry API endpoint.
  • When fixing discrepancies between the declared API schema and the actual response.
  • When promoting an internal or experimental endpoint to a public-facing status.
  • When refactoring legacy API documentation files into the current codebase structure.

Advantages

  • Ensures API documentation remains synchronized with evolving backend code.
  • Reduces type errors by enforcing canonical TypedDict usage across the codebase.
  • Provides a clear, repeatable process for public API promotion.
  • Eliminates reliance on outdated legacy JSON documentation files.

Usage examples

“Document the new project settings endpoint.”
The agent will apply the appropriate @extend_schema decorators, define the required TypedDicts, and ensure the endpoint is correctly tagged and owned.
“Fix the type drift on the issues list endpoint.”
The agent will compare the current schema against the live endpoint response, identify mismatches, and update the TypedDicts to match the actual runtime data.
“Promote the experimental profiling endpoint to public.”
The agent will update the publish status, assign the correct API owner, remove it from the allowlist, and ensure the documentation reflects the public status.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/getsentry/document-api-endpoint/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip document-api-endpoint.zip -d .agents/skills

Documentation by Sentry

Document & Type a Sentry API Endpoint

Add or fix OpenAPI docs for a Sentry endpoint with drf-spectacular. Full reference is at https://develop.sentry.dev/backend/api/public/, the most useful section to you will be https://develop.sentry.dev/backend/api/public/#5-method-decorator. This skill captures the non-obvious lessons on top of it. Most of the work is making the declared schema match what the endpoint actually returns. Before documenting, identify which endpoint class serves the route and what it does; the MCP tool that calls it is usually the fastest way to confirm its behavior. Promoting a PRIVATE/EXPERIMENTAL endpoint to PUBLIC is one application (see below).

Workflow

  1. Class-level @extend_schema(tags=[...]) — use the closest existing OPENAPI_TAGS entry.

  2. Method-level @extend_schema(operation_id=..., parameters=[...], responses={...}, examples=...).

  3. Reuse src/sentry/apidocs/parameters.py and examples/*.py; ensure owner = ApiOwner.<TEAM> is set.

  4. If a legacy api-docs/paths/**/*.json covers the path, remove it (see lesson 4).

  5. Validate, then verify against the live endpoint (lesson 1).

Lessons

1. Carefully compare what the code does vs declared types

Ideally, hit the live endpoint with a real token and diff the keys and types against your TypedDict. Serializers are sometimes inaccurate. Look out for counts coming back as floats instead of integers, IDs declared int emitted as strings, nested types declaring the wrong number of fields. Correct the declared type to match runtime.

curl -s -H "Authorization: Bearer $TOKEN" "https://us.sentry.io/api/0/<endpoint>" | jq 'keys'
2. Reuse the canonical response type

Match the codebase's XxxResponseOptional(TypedDict, total=False) mixin (main class declares required fields). Nullable-vs-absent: T | None = key always present, value may be null; NotRequired[T] = key only set under a condition (e.g. an expand query param). Reuse the existing canonical type instead of re-declaring a second or third copy in a *_types.py. If there's no clean canonical type to reuse (e.g. a payload proxied from another service like vroom/profiling), type it dict[str, Any] rather than inventing a new mirror, and confirm the shape from the owning service's repo, not just the serializer.

3. Infer the type. Avoid cast and # type: ignore

When a serializer returns a base type plus extra fields, refactor the producing code so the response type is inferred rather than forced.

4. Legacy doc migration is all-or-nothing per path

Delete the api-docs/paths/**/*.json file AND its $ref in api-docs/openapi.json. drf-spectacular's APPEND_PATHS does not merge HTTP methods, so once any method on a path uses @extend_schema, all legacy methods on that path vanish — migrate every method on the path in one commit.

Promoting to PUBLIC

Do the workflow above, then on the concrete endpoint only (leave siblings PRIVATE):

  • Bump publish_status[<METHOD>] → PUBLIC and set owner = ApiOwner.<TEAM>.

  • Remove the method from API_OWNERSHIP_ALLOWLIST_DONT_MODIFY in the same change as the flip.

  • If the endpoint is redundant or being renamed, delete or deprecate the old version in its own change first, then stack the publish on top.

  • Note in the PR if scopes widen (event:read → event:{admin,read,write}) — that's drf-spectacular regenerating from permission_classes, documentation-only.

The change reaches the @sentry/api SDK / MCP only after sentry-api-schema regenerates downstream.

Validate

make build-api-docs
pnpm run validate-api-examples
.venv/bin/pytest -q --reuse-db tests/apidocs/endpoints/<area>/test_<name>.py
.venv/bin/prek run -q --files <changed paths>

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs network access, Needs Node.js

Security

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Attribution and licence

Published by
Sentry
Publisher
Sentry (Official)
Source
getsentry/skills · skills/document-api-endpoint · commit e94f222
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download document-api-endpoint.zip