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generate_repo_summary

Aggregate repository stats, contributors, languages, topics, license, latest release, and README into a single summary for quick project insights.

Instructions

Aggregate stats + contributors + languages + topics + license + latest release + README.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
owner_repoYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only lists what is included but does not reveal whether the operation is read-only (the name 'generate' could even be slightly misleading), how the aggregation is performed (e.g., parallel calls, potential rate limits), or any edge cases like README truncation. This is a significant transparency gap for a composite tool.

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 a single, concise sentence listing the exact components included in the summary. Every word earns its place, and there is no redundant information. The structure is front-loaded and easy to parse.

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

Completeness2/5

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

Given the tool's complexity (aggregating seven data categories) and the absence of an output schema, the description is woefully incomplete. It does not explain what 'stats' means, whether the README is full or summarized, how the output is structured, or any dependencies on repository availability. The agent is left without crucial context for a tool that likely has a rich return value and multiple potential failure points.

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

Parameters2/5

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

The schema has one parameter, owner_repo, with no description, and the tool description does not mention it at all, resulting in 0% schema description coverage. The parameter name is somewhat self-explanatory, but the description does not clarify the expected format (e.g., 'owner/repo') or provide any additional meaning beyond the schema title. This fails to compensate for the lack of schema documentation.

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 aggregates multiple repo data components (stats, contributors, languages, topics, license, latest release, README). This specific verb+resource combination distinguishes it from sibling tools that return individual pieces, making the purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies usage as an all-in-one summary tool by listing all the data types it aggregates, but it does not explicitly say when to use it versus calling individual sibling tools like get_repo_stats or get_contributors. There is no explicit exclusion or alternative guidance, only the implied context of aggregation.

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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