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github_users_get_context_for_user

Retrieve contextual information about a GitHub user, optionally scoped to a specific organization, repository, issue, or pull request.

Instructions

Get contextual information for a user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesusername
subject_typeNoIdentifies which additional information you'd like to receive about the person's hovercard. Can be `organization`, `repository`, `issue`, `pull_request`. **Required** when using `subject_id`.
subject_idNoUses the ID for the `subject_type` you specified. **Required** when using `subject_type`.
Behavior2/5

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

Annotations are absent, so the description must disclose behavioral traits. It only says 'get', implying a read operation, but does not mention permissions, return format, or the interdependence of 'subject_type' and 'subject_id'. The description provides minimal behavioral context.

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

Conciseness2/5

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

The description is extremely brief (one sentence) but lacks necessary detail. It does not earn its place as it omits critical usage context; conciseness is not achieved at the cost of completeness.

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?

With no output schema and only three parameters, the description should explain the purpose of 'subject_type' and the hovercard context. It fails to provide enough information for an agent to confidently use the tool correctly.

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?

Schema coverage is 100% and each parameter has a description in the schema. The tool description adds no additional meaning beyond what the schema provides, resulting in the baseline score of 3.

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

Purpose3/5

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

The description states 'get contextual information for a user', which is a verb+resource but lacks specificity. It does not clarify what kind of context or how it differs from other user retrieval tools like 'github_users_get_by_username'.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, no when-not conditions, and no examples. The description leaves the agent to infer usage solely from the tool name.

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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