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metehan05-eng

AI Company Manager MCP Server

get_company_overview

Retrieve the current company profile and financial summary from local files to support AI-driven company management.

Instructions

Return a current company profile and financial summary from local files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
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. 'Return' implies a read-only operation and 'from local files' usefully discloses the data source, but it says nothing about freshness guarantees beyond the word 'current', permissions, or behavior when no local data exists.

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 no filler; the action, the payload, and the source are all stated without waste.

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

Completeness4/5

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

The tool is parameterless and has an output schema, so return values need not be described. The remaining gap is sibling differentiation against inspect_company_data and read_company_file, which is the main thing an agent would want clarified.

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 tool takes zero parameters, so there is nothing for the description to compensate for. The baseline of 4 applies since parameter semantics are trivially complete.

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 ('Return') and concrete resources ('company profile and financial summary'), plus a data-source scope ('from local files'). However, it does nothing to distinguish itself from siblings like inspect_company_data or read_company_file, which an agent must disambiguate among.

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 or when-not-to-use guidance and no named alternative. The agent must infer from the phrase 'company profile and financial summary' that this is the summary-level tool rather than the file-level siblings, which is a real inference burden given the crowded sibling set.

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