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Unilytics MCP Server

Unilytics MCP Server

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approve_skill_proposal

Read-only

Returns the Agent Inbox link for approving an open skill proposal; approval happens as a click in the Unilytics app. Use when asked to approve, accept, or apply a proposal. Read-only.

Instructions

Return the Agent Inbox link where the user approves an open skill proposal. Approval is a click in the Unilytics app, by design: this tool never approves, applies or changes a proposal.

Use when the user asks to approve, accept or apply a proposal. Read-only.

Args:
    proposal_id: From list_skill_proposals (prp_…).

Input Schema

NameRequiredDescriptionDefault
proposal_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.0

TDQS

A4.8/5.0
Behavior5/5

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

The annotations already declare readOnlyHint=true, but the description adds substantive context beyond them: the return value is an Agent Inbox link, and approval must happen as a click in the Unilytics app rather than through the tool. That prevents an agent from assuming the call itself mutates state, which is the key behavioral risk here.

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 critical constraint is front-loaded in the first two sentences, and the Args block is short and purposeful. The 'by design' clause is slightly editorial, but it reinforces the non-mutation guarantee rather than padding the text.

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

Completeness5/5

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

For a single-parameter, read-only tool with no output schema, the description covers what is returned (a link), what the tool refuses to do, and where the id comes from. Nothing an agent needs in order to call it correctly is missing.

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?

Schema description coverage is 0%, so the description must carry the parameter alone. It does give provenance ('From list_skill_proposals') and the expected prefix ('prp_…'), which is meaningful help for constructing a valid value, though it does not describe malformed-id behavior or whether an id for a closed proposal is rejected.

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 first sentence states a specific verb and resource: it returns an Agent Inbox link for an open skill proposal. It immediately distinguishes itself from approval-acting siblings by declaring 'this tool never approves, applies or changes a proposal', so an agent can separate it from dismiss_skill_proposal or any apply-style tool without opening a schema.

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

Usage Guidelines5/5

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

'Use when the user asks to approve, accept or apply a proposal' gives an explicit trigger with synonyms an agent will actually encounter. It also states the exclusion ('never approves... by design') and points to list_skill_proposals as the source of the id, leaving little to infer.

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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