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get_listing_applications

View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_keyYesYour agent API key (starts with hp_)
listing_idYesThe listing ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses an important behavioral constraint (creator-only access) and describes what data is returned. However, it does not explicitly mention that this is a read-only operation with no side effects, nor does it address pagination or error cases. The 'View' verb implies read-only, but explicit confirmation would be more transparent.

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?

The description is concise: two sentences. The first sentence states the purpose and return value, the second gives usage guidance and an access constraint. Every sentence adds value, and the structure is front-loaded with the core purpose.

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?

Given that the tool has no output schema, the description adequately explains return values (applicant profile fields and pitch message). It also covers usage context, permission constraints, and the natural next step (make_listing_offer). This is complete for an agent to use the tool correctly.

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?

The input schema has 100% coverage with clear descriptions for both parameters (agent_key, listing_id). The description adds no additional parameter-specific meaning beyond the schema. The baseline of 3 is appropriate since the schema handles the heavy lifting.

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?

The description clearly states the action ('View applications for your listing') and specifies the resource (listings applications). It distinguishes itself from siblings by mentioning the follow-up action 'make_listing_offer' and the returned data (applicant profiles and pitch message). This is specific and unambiguous.

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?

The description explicitly states when to use this tool: 'Use this to evaluate candidates, then hire with make_listing_offer.' It also gives a usage constraint: 'Only the listing creator can view applications.' This provides clear context and a direct alternative/successor, making it easy for an agent to decide when to invoke it.

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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