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careerpro_letter_get

Read-onlyIdempotent

Cover letter for one opening as text and PDF (base64) Pricing: {"unit": "call", "price_usd": 0, "free_quota": "200 per day per IP", "note": "Keyed volume pricing is published at https://careerpro.tech/pricing.json"}.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "job_id": "<job_id>"
    },
    "name": "careerpro_letter_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYesjob_id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the return payload shape (text plus base64 PDF) and the cost model (free, 200 calls/day/IP), which is unusually actionable context for planning. It stops short of explaining behavior on a missing or invalid job_id.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core content is compact and front-loaded, but the payload description and the 'Pricing:' block run together without a sentence break, making it read as a merged fragment. All sentences do carry information, so nothing is padding.

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?

For a one-parameter read tool whose annotations already establish idempotent, non-destructive behavior, the description covers both what is returned and what it costs. Only edge-case behavior (unknown job_id, whether the letter is generated on demand) is missing.

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 100%, but the single parameter's schema text is merely 'job_id', adding no real meaning. The description does not clarify whether job_id refers to an open posting versus an application, nor any format expectations, so it neither compensates nor harms.

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 names the specific resource (a cover letter for one job opening) and the return formats (text and base64 PDF), which lets an agent distinguish it from sibling retrieval tools like careerpro_resume_get or careerpro_pack_get. It is a noun phrase rather than an explicit verb+resource statement, but the retrieval intent 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 guidance on when to call this versus alternatives such as careerpro_resume_get or careerpro_pack_get, nor any prerequisite (e.g., whether the letter must be generated or an application submitted first). The agent must infer usage from the name alone.

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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