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ecosystem_index_diff_latest

Retrieve the latest index diff snapshot for your project, showing new, reactivated, deactivated, stale, and archived counts along with a markdown summary. Returns success with diff data or a message if no diffs exist.

Instructions

Fetch the latest IndexDiff snapshot for the current project.

Maps to GET /api/ecosystem/index_diffs/latest. Returns the most recent diff row produced by a real ecosystem_index_update (dry_run=False) run. Dry-run previews are not persisted and therefore never appear here.

Returns: Diff available: {success: True, diff: {id, diff_type, new_count, reactivated_count, deactivated_count, stale_count, archived_count, markdown_summary, alerted, generated_at}}. No diffs yet (fresh project): {success: True, diff: None, message: 'No index diffs found yet.'}. Legacy/unbuilt API: {success: False, error: 'P0.4 will implement', detail} (returned when the endpoint answers 404). Other failure: {success: False, error, detail}. success semantics: True = call completed (diff may be None when the project has never run a non-dry index_update); False = API/endpoint error. The API field is diff — older internal references to index_diff are obsolete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses API endpoint, return types including success/failure cases, and that dry-run results are excluded. Additionally warns about obsolete field names and legacy API behavior. No annotations exist, so description carries full burden and meets it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with a brief summary, API mapping, and clear bullet points for each possible return scenario. Every sentence provides necessary information without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and a modest output schema, the description covers all needed details: endpoint, response shapes, error conditions, and the meaning of success. The presence of an output schema is complemented by the description's field explanations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty and schema coverage is 100%, so there are no parameters to document. The description compensates by thoroughly explaining the output structure and various response shapes, adding value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it fetches the latest IndexDiff snapshot for the current project. Distinguishes from siblings like ecosystem_index_update and ecosystem_diff_period by specifying it returns the most recent diff from a real (non-dry-run) update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage for retrieving the latest diff but does not explicitly mention when not to use or provide alternative tools. The mention that dry-run previews are not persisted gives some guidance, but no direct comparison with siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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