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

No annotations are provided, so the description carries the full burden. 'Retrieves' implies a read-only operation and it usefully discloses what payload comes back (Brier scores, calibration alpha benchmark, SHA-256 pre-commitments), but it says nothing about permissions, rate limits, pagination, or defaults for the optional filters.

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

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

A single front-loaded sentence that delivers the operation and payload without filler. It is dense with domain jargon ('Brier scores', 'calibration alpha') but every clause conveys substantive information.

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

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

An output schema exists, so return-format explanation is unnecessary, and the five optional filters are fully documented in the schema. The main gap is the absence of usage guidance and behavioral constraints, which leaves the definition slightly thin for a tool with no annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all five parameters are already documented in the schema with enum values and examples. The description adds no parameter-level syntax or semantics beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Retrieves') and a well-defined resource (prediction market Alpha Gaps), plus the data sources being compared (Bayesian model odds vs Polymarket order books) and the accompanying metrics. It is highly distinctive, though it never explicitly positions itself against siblings like get_dossier_delta or search_intelligence_matrix.

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

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

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The agent can only infer usage from the filter parameters in the schema, which is not guidance from the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.