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100Hires MCP Server

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hires_batch_reject_applications

Reject multiple applications in one batch request, optionally specifying a rejection reason, and receive per-item results with partial success support.

Instructions

Reject multiple applications in one request with an optional rejection reason. Returns per-item results with partial success support. Max 100 application IDs per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesApplication IDs to reject (max 100).
rejection_reason_idNoOptional rejection reason ID.
Behavior4/5

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

No annotations are present, so the description carries the burden of behavioral disclosure. It discloses key behaviors: returns per-item results, supports partial success, and enforces a max request size. It does not discuss permissions or reversibility, but for a batch mutation tool, the disclosed behavior is substantial.

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 two concise sentences, front-loading the core purpose and adding the most relevant behavioral details. Every sentence adds value with no redundancy or filler.

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 the simple parameter set and the inclusion of per-item result behavior, the description sufficiently covers what an agent needs to select and invoke the tool correctly. No output schema is present, but the description outlines the response shape enough for initial understanding.

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 already provides full descriptions for both parameters (ids with max 100, optional rejection_reason_id). The description largely restates this information, adding no new parameter-level semantics beyond what the schema already states.

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 uses a specific verb ('Reject') and resource ('applications'), and clearly indicates the batch scope ('multiple applications in one request'). This distinguishes it from the sibling single-reject tool and other batch operations.

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?

The phrase 'Reject multiple applications in one request' clearly implies the intended use case for batch rejection. It also includes a practical constraint (max 100 IDs) but does not explicitly mention alternatives like the single-application reject tool.

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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