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metehan05-eng

AI Company Manager MCP Server

read_company_file

Read company files in TXT, MD, JSON, CSV, XLSX, PDF, or DOCX format and return their contents as text for local AI analysis.

Instructions

Read a supported company TXT, MD, JSON, CSV, XLSX, PDF, or DOCX file as text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses supported formats, which is useful, but says nothing about permissions, failure modes for unsupported types, size limits, encoding, or whether PDFs/DOCX are extracted versus read raw.

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; every word (operation, scope, supported formats, output type) earns its place.

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?

The output schema exists, so return values need not be explained, and the tool is simple with one parameter. However, with no annotations and no schema descriptions, the description omits filename semantics and any safety/auth context, leaving a gap an agent would want filled.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. Listing the supported extensions partially constrains the single 'filename' parameter, but it never states path format, case sensitivity, or base directory, so it only partly fills the gap.

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 (Read) and resource (company TXT/MD/JSON/CSV/XLSX/PDF/DOCX file) and clarifies the output is text. It is distinguishable from list_company_files or inspect_company_data, though it never explicitly names a sibling to route the agent.

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, no prerequisites, and no mention of alternatives such as list_company_files or inspect_company_data. Usage is only implied by the verb 'Read'.

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