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

With no annotations, the description carries the full burden. It does disclose a genuine behavioral trait: a move whose hypotheses were all refuted is still included with its count, and it warns the read 'must not flatter' the methodology's unverified claim. That is useful semantic context, but the description never states that this is a read-only operation, says nothing about permissions, pagination, ordering, or return format.

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?

Only two sentences and the core purpose is front-loaded. The second sentence is dense and jargon-laden ('marks that claim unverified', 'must not flatter it'), which slightly hinders parsing, but nothing is wasted.

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?

There is no output schema, so the description should explain return values; it hints that moves appear 'with their count' but omits ordering, available fields, and result shape. For a read/analysis tool with one optional param and no annotations, this is adequate but leaves clear gaps.

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% and the single run_id parameter is thoroughly documented in the schema (optional, attribution semantics, ownership rejection). The description adds nothing about parameters, 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?

The opening fragment 'Which generating moves produce hypotheses that survive' conveys the analytical question the tool answers, which is more specific than a tautology. However, it lacks an explicit verb or resource ('this tool returns/ranks moves by...') and does not differentiate itself from methodist-adjacent siblings like methodist_hypotheses_for_question or methodist_hypothesis. The purpose is inferable but vague in framing.

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 call this tool, no prerequisites, and no named alternatives among the many methodist_* siblings. The agent is left to infer usage entirely from the output-semantics sentence.

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