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thenvoi

Thenvoi MCP Server

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by thenvoi

approve_contact_request

Approve a pending contact request by providing its unique ID to confirm the connection.

Instructions

Approve a received contact request.

Args:
    request_id: The contact request ID to approve (required).

Returns:
    JSON string confirming the approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states the return type (JSON string) but does not disclose behavioral traits such as side effects (e.g., adding a contact), required permissions, or irreversibility.

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 very concise with two sentences, front-loaded with the action, and every word is necessary. No wasted text.

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

Completeness3/5

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

Given the simple input (one parameter) and presence of an output schema, the description is adequate but lacks behavioral context. It does not explain what happens after approval (e.g., if the contact is automatically added) or if the action is reversible.

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

Parameters4/5

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

The schema has zero description coverage, but the description adds clear meaning to the parameter 'request_id' by stating it is the contact request ID to approve and that it is required.

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 approves a received contact request, using a specific verb and resource, and it implicitly distinguishes from sibling tools like reject_contact_request and cancel_contact_request.

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 that the tool should be used when approving a received request, but it does not explicitly mention when not to use it or provide alternatives. Siblings are not referenced.

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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