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aimrank_predict

Read-onlyIdempotent

iCOMPLY contract: pairwise prediction with provenance fields.

Returns the engine's predicted winner + probability shaped so iCOMPLY's Annex IV section-4 generator can ingest the response directly. See [iCOMPLY_INTEGRATION_STRATEGY.md] for the contract.

api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
ranking_idYes
entity_a_idYes
entity_b_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With readOnlyHint, openWorldHint, and idempotentHint already present, the description adds useful behavior beyond annotations: the response includes provenance fields, is shaped for iCOMPLY ingestion, and api_key is optional on the public endpoint but refused on /mcp/mcp. No contradictions.

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?

Three crisp sentences: purpose and output shape, integration contract pointer, and auth behavior. Each sentence earns its place and the most important scoping information is front-loaded.

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 read-only, idempotent prediction tool with an output schema, the description covers the essential call context: what it returns, who consumes it, and how api_key behaves per endpoint. The main omission is fuller parameter semantics, but schema structure and the contract reference keep this adequate.

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 description coverage is 0%, so the description has to compensate. It adds meaning for api_key (endpoint-dependent requirement) and contextually defines entity_a_id/entity_b_id by calling this a pairwise prediction. However, it does not explain ranking_id or provide any value/format constraints, leaving a material gap in parameter semantics.

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 clearly states a specific verb and resource: it returns the engine's predicted winner plus probability, and scopes it to the iCOMPLY contract with provenance fields. It does not explicitly contrast itself with the closely named sibling aimrank_predict_matchup_winner, so differentiation is implied by the iCOMPLY-specific output shape rather than stated.

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 gives clear context for when to use the tool: when the response must feed iCOMPLY's Annex IV section-4 generator, and it points to the integration contract document. It does not mention when not to use it or name alternatives, so it stops short of the 5-level guidance.

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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