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Attach company analysis

attach_analysis
Destructive

Attach a markdown company analysis (research you produced) to an application. Single document per application — a new call REPLACES the previous one. Max 100000 bytes (~100 KB) of utf-8. The user reads it in the dashboard, e.g. before an interview. Example: attach_analysis({application_id: "…", markdown: "# Bosch\n\n## Culture…"}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownYesThe analysis as markdown
application_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond annotations (destructiveHint=true), description adds key details: replacement on new call, max size 100KB, and markdown format. No contradictions.

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?

Two sentences plus example, every sentence adds value. Front-loaded with purpose. No redundancy.

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 tool with 2 params and no output schema, description covers all: purpose, behavior, size limit, example. Leaves no ambiguity for correct invocation.

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?

With only 50% schema coverage, description compensates by explaining markdown purpose and size limit, and includes example showing both parameters. Application_id is only described via schema, but UUID format is clear.

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?

Description clearly states the tool attaches a markdown company analysis to an application, and distinguishes from siblings like add_note or attach_file by specifying it's for research and single document replacement.

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

Usage Guidelines4/5

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

Description explains when to use (attach analysis for dashboard reading before interview) and implicitly when not (due to replacement behavior), but does not explicitly contrast with sibling tools.

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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