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github_enterprise_team_memberships_bulk_add

Add multiple members to a GitHub Enterprise team in one request. Specify the enterprise, team, and member details in the JSON body.

Instructions

Bulk add team members

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enterpriseYesenterprise
enterprise_teamYesenterprise-team
bodyNoRequest body (JSON object)
Behavior2/5

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

No annotations are provided to convey safety or destructiveness. The description fails to disclose behavioral traits such as whether the operation is idempotent, how duplicates are handled, or any rate limits. For a bulk mutation tool, this lack of detail leaves the agent uncertain about side effects.

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

Conciseness4/5

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

The description is a single concise sentence. Every word is meaningful, but it could be slightly expanded with key details without losing conciseness. It is front-loaded with the core action 'Bulk add team members'.

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?

Despite the tool having three parameters and nested objects (the body), the description lacks essential information such as the expected structure of the body, number limits, and output expectations. An agent would struggle to invoke this tool correctly without additional context from the API documentation or interaction history.

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?

Even though schema description coverage is 100%, the parameter descriptions are tautological (e.g., 'enterprise' -> 'enterprise'). The tool description hints that the body contains membership data, but does not elaborate on the required format or fields. Since the schema does not add meaning, the description marginally compensates, earning a baseline score of 3.

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 'Bulk add team members' clearly states that the tool adds members to an enterprise team in bulk. This specific verb and resource distinguishes it from sibling tools like 'github_enterprise_team_memberships_bulk_remove' or 'github_enterprise_team_memberships_add', which are for removing or adding single members respectively.

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?

The description provides no guidance on when to use this tool versus alternatives like the single add or bulk remove. There is no mention of context, prerequisites, or exclusion criteria, leaving the agent to infer usage from the tool name alone.

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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