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surendranb

.Microsoft Clarity MCP Server

by surendranb

doctor

Validate Microsoft Clarity credentials, project settings, local cache, and remaining daily request quota to prevent failed API calls.

Instructions

Validate Microsoft Clarity credentials, project configurations, on-disk cache, and remaining daily request quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNo
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the scope of the check (credentials, config, cache, quota), which is useful and beyond raw schema. However, it omits whether the call is read-only, whether it consumes quota itself, whether it mutates the on-disk cache, and what failures look like.

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?

A single front-loaded sentence with the verb first and an enumerated scope. Every element earns its place; there is no filler.

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?

An output schema exists, so return-value explanation is not required. The core purpose is conveyed, but for a diagnostic tool with two undocumented optional parameters and no annotations, the definition leaves the agent guessing about override behavior and side effects.

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

Parameters2/5

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

Both parameters (token, project_id) have 0% schema description coverage, so the description must compensate — and it does not mention either parameter at all. It gives no hint that these optional args override stored credentials or scope the validation to a project.

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?

States a specific verb ("Validate") and enumerates exactly what is validated: credentials, project configurations, on-disk cache, and daily quota. This clearly reads as a diagnostic/health-check tool. It does not reference or differentiate itself from any sibling tool, but the purpose is unambiguous.

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?

There is no when-to-use guidance and no mention of alternatives. The agent must infer that this is for troubleshooting before or after calling the data tools in the sibling list. No prerequisites or exclusion conditions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.