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JobAdder MCP Server and API by Cotlet

Rate application in JobAdder

jobadder_rate_application
Read-onlyIdempotent

Rate application in the user's own JobAdder account from ChatGPT, Claude or any AI agent. Returns how to do it in JobAdder step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's JobAdder Cloud Browser. JobAdder's official API: JobAdder has a REST API, but not for every account (checked 22 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "jobadder_rate_application"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description reinforces this with 'opens nothing by itself,' which is genuinely useful disambiguation against the name. Beyond that it adds little behavioral detail, such as what the returned instructions look like in form or length, so it earns credit without going far beyond the annotations.

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 point (returns instructions, does not act) is front-loaded, which is good. But 'from ChatGPT, Claude or any AI agent' is filler, and the API aside ('JobAdder's official API: JobAdder has a REST API') is redundantly phrased. A tighter version would lose nothing.

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 zero-parameter, read-only guidance tool with no output schema, the description covers the essentials: what it returns, that it has no side effects, and which tools to use afterward. No missing information would lead an agent to call it incorrectly.

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 no parameters (schema is an empty object with additionalProperties false), and the description does not need to compensate for anything. The baseline of 4 applies since there are no parameter semantics to convey.

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 and resource (rate an application in JobAdder) and immediately clarifies the crucial twist: it returns step-by-step instructions rather than performing the action. That distinction is what an agent needs, since the tool name alone would suggest a mutation. It does not explicitly distinguish itself from JobAdder write siblings like jobadder_update_application_status, which keeps it below a 5.

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?

It lays out the intended workflow clearly: call this to get the screens/buttons/fields, then execute with the cotlet_browser_* tools. It also gives the rationale for the browser route (JobAdder's REST API does not cover every account). It stops short of explicit when-not-to-use conditions or naming a specific sibling as the alternative.

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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