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code_workspace_approve_access_request

Approve a pending access request to a code workspace by specifying the workspace ID and request ID.

Instructions

Approve a pending access request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYes
request_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden. It states 'Approve' implying a write/mutation operation, but gives no details on consequences (e.g., whether it triggers notifications, grants access immediately, or if approval is reversible). This is insufficient for an agent to understand behavioral impact.

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

Conciseness3/5

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

The description is a single sentence with no superfluous text, fitting the conciseness ideal. However, it lacks structure—no separate sections for purpose, usage, or parameters. It is borderline under-specified rather than efficiently concise.

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 complexity (2 required parameters, 0% param docs, no annotations), the description is far from complete. It fails to explain the return value despite an output schema existing. The agent cannot reliably select this tool based solely on the provided information.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the input schema provides no descriptions for 'workspace_id' and 'request_id'. The tool description adds no parameter explanations, leaving the agent without guidance on what values to provide or how they relate to pending access requests.

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

Purpose4/5

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

The description 'Approve a pending access request' clearly specifies the verb (approve) and resource (pending access request). It is specific enough to distinguish from the sibling tool 'code_workspace_deny_access_request' which handles denial. However, it does not elaborate on the context (e.g., code workspace) which is implied by the name.

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 usage guidelines are provided. The description does not state when to use this tool versus alternatives like denying or adding collaborators. There is no mention of prerequisites or contextual cues for the AI agent.

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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