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Kinolian1107

phison-mail-mcp

by Kinolian1107

getContacts

Extract contact information and usage statistics from your email history. Search email addresses to find who you contact most frequently.

Instructions

Extract contact information from email history with frequency analysis. Searches through email addresses and provides contact usage statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxResultsNo
searchTermNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.9

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It implies a read-only search and mentions frequency analysis/usage statistics, but it does not state permissions, side effects, return format, or pagination behavior. The gaps are significant for a tool with no structured hints.

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 two sentences and front-loads the core purpose. The second sentence partially restates the first but adds 'usage statistics', so it is mostly efficient with minor redundancy.

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 lack of annotations, output schema, and parameter descriptions, the description is incomplete. It does not explain what 'frequency analysis' returns, how results are ordered, or how the searchTerm and maxResults parameters affect behavior.

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% for two parameters (maxResults, searchTerm). The description does not mention these parameters at all, so it completely fails to compensate for the missing schema documentation.

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 states a specific verb ('Extract') and resource ('contact information from email history') and adds a distinctive feature ('frequency analysis'). It is clear enough to distinguish from siblings like sendMail or listEmails, though it does not explicitly name alternatives.

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, nor any prerequisites or context. It only states what the tool does, leaving the agent to infer usage.

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