datasets_github_users_item

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

With no annotations provided, the description carries the full burden. It states the tool returns one enriched record, which is transparent about the output. It also specifies the dataset id enum value. However, it could disclose more about behavior such as potential errors for missing login or rate limits.

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

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

The description is a single, clear sentence with no unnecessary words. It is front-loaded with the core action and resource.

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

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

Given the low complexity (1 param, no output schema), the description is fairly complete but lacks information about error handling (e.g., if login not found) and the structure of the returned record. Since no output schema exists, the description could compensate by summarizing typical fields.

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

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

The schema for the single parameter 'login' already has a description (GitHub login, max 128 characters), and schema coverage is 100%. The tool description mentions 'by login' but adds no significant extra meaning beyond what the schema provides. Baseline 3 is appropriate.

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

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

The description clearly states the verb 'Get', resource 'GitHub user from the dataset', and specifies it returns one enriched record by login from a specific dataset id. It distinguishes from sibling tools like datasets_github_users_search which likely return multiple results.

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

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

The description implies usage for retrieving a single GitHub user by login, but does not provide explicit guidance on when to use this tool versus alternatives like datasets_github_users_search or when not to use it. No exclusions or prerequisites are stated.

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