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ecosystem_rebuild_queries_from_repos

Aggregates search queries that discovered repositories, showing counts per query to audit productivity and identify multi-query hits.

Instructions

Return a recap of all search queries that have discovered repos in this project.

Scans discovered_via_queries across all stored profiles and aggregates counts per query. Useful to audit which queries are most productive and which repos are multi-query hits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoOptional project scope override.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the burden. It explains the tool scans discovered_via_queries across profiles and aggregates counts, disclosing its read-only behavior and purpose. It does not mention performance impacts but is sufficient.

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?

The description is concise, with three purpose-driven sentences, front-loaded with the main action, and no extraneous information.

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 the presence of an output schema, the description does not need to detail return values. It adequately covers what the tool does, the source data, and the aggregation, making it complete for agent selection.

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

Parameters3/5

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

There is only one optional parameter (project_id) with schema description coverage at 100%. The description does not add additional meaning beyond the schema, meeting the baseline.

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?

The description clearly states the tool returns a recap of search queries that discovered repos, aggregates counts, and is useful for auditing query productivity. It distinguishes itself from siblings by its specific function.

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?

The description explicitly states it is useful for auditing query productivity, providing clear usage context. It does not explicitly exclude alternative tools, but the niche function makes it obvious.

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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