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benmonopoli

Greenhouse MCP

by benmonopoli

list_offers_for_application

List all offers (every version) made on a specific application. Read-only, sorted newest first, to track offer history.

Instructions

List all offers (every version) made on a specific application. Read-only.

Sorted newest version first. To find application_id: search_candidates_by_name → list_applications(candidate_id=...) → match the application to the job. For the current offer only, use get_current_offer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYesGreenhouse application ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • addedInput schema / properties / application_id / description
      Added value: +"Greenhouse application ID"
  2. Addedv0.3.4

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose the safety profile ('Read-only'), the ordering ('Sorted newest version first'), and the version scope ('every version'). It omits pagination and rate-limit behavior, but for a read-only list tool the disclosure is solid.

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?

Front-loaded purpose, then the read-only and ordering facts, then the id-resolution workflow and the alternative. Every sentence earns its place with 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?

An output schema exists, so return values need no explaining. For a one-parameter read tool, the purpose, ordering, version scope, id-resolution path, and alternative tool are all present; nothing an agent needs is missing.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds real value beyond the schema by explaining how to resolve application_id end-to-end. That materially helps an agent supply the single required parameter correctly.

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?

Specific verb (List) plus resource (offers, every version) plus scope (a specific application), and it names the sibling it is not (get_current_offer) and the alternative get_offer/list_offers. An agent can distinguish it from siblings without opening a schema.

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

Usage Guidelines5/5

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

Explicitly routes the agent: 'For the current offer only, use get_current_offer', and gives the full resolution path to obtain application_id (search_candidates_by_name → list_applications → match). Both when-to-use and the alternative are stated.

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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