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Evaluation requirements

get_requirements
Read-onlyIdempotent

Evaluation criteria with weight (1 to 5) and Callvu's answer. Procurement requirements are included for every vertical.

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": "get_requirements"
  }
}

Input Schema

NameRequiredDescriptionDefault
personaNoA persona name, for example "Procurement", "Compliance" or "Technical".
verticalNoA vertical slug, name or alias, for example "banking", "Home lending" or "mortgage". Case-insensitive.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds genuinely new context about the payload — the 1-5 weighting and the vertical-wide procurement coverage — which matters because there is no output schema. It stops short of describing ordering, size or whether persona changes the result set.

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

Conciseness4/5

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

Two very short sentences, front-loaded with the payload description, with no filler. It is slightly clipped and fragmentary, leaving the reader to reconstruct the implied verb, which keeps it off a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description bears full responsibility for describing return values, and it does only partially: weights and the procurement-per-vertical guarantee are stated, but the shape of each criterion and the answers is not. For a simple two-optional-parameter read tool with full annotation coverage, this is adequate but not complete.

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 coverage is 100% and both parameters are documented with examples and case-insensitivity notes, so the baseline is 3. The phrase 'included for every vertical' marginally clarifies that vertical filters rather than restricts availability of procurement requirements, but it adds no syntax or default behavior beyond the schema.

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 resource clearly: evaluation criteria, each with a 1-5 weight and Callvu's answer, plus the guarantee that procurement requirements are covered for every vertical. That tells an agent what it gets back without opening a schema. It does not distinguish itself from near siblings such as get_claim, get_concerns or get_comparison, so it stops short of 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 Guidelines2/5

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

There is no explicit when-to-use statement and no named alternative. The agent must infer from the word 'requirements' that this is the lookup for scoring/evaluation criteria, and nothing tells it when get_claim or get_comparison would be the better call. Usage is only implied by the content.

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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