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

No annotations are supplied, so the description carries the full burden and largely meets it: it discloses what is reported (every key with differing values, named conflicting pairs) and a meaningful behavioral distinction between formatting-only differences (case/whitespace) and substantive ones (USD vs EUR, different id or version). It also explains the requiredKeys enforcement behavior, though that final sentence is cut off mid-word, leaving the missing-statement outcome underspecified.

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?

Front-loaded with the core action and examples, and the parenthetical enumerations are efficient. The em-dash clause partially restates the opening ('Takes assumptions that several agents... hold about the same fact'), and the description terminates mid-word, which is a structural defect rather than mere length.

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?

For a 3-parameter, annotation-free tool with no output schema, the description covers purpose, input semantics, output shape, and the formatting-vs-substance distinction well. The only gap is the truncated final clause about missing required statements, which leaves one documented behavior incomplete.

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 coverage is 67%, and the description compensates by explaining what the assumptions array represents (key, value, who for the same fact), what requiredKeys does (each listed agent must state each key), and that a missing statement is handled specially. That is real meaning beyond the schema's type declarations, though the truncated sentence prevents full clarity on the requiredKeys failure behavior.

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?

Opens with a specific verb and resource ('Find assumptions that disagree across agents') and immediately anchors it with concrete examples (currency, timezone, version, customer id). The second clause clarifies the input shape (key, value, who) and the output (every key whose values differ), so an agent can distinguish this from a generic conflict or diff tool without opening the schema.

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?

The description establishes the usage context well — it applies when several agents or steps hold assumptions about the same fact — and explains the optional stricter mode via requiredKeys. However, it never states when NOT to use it, nor does it point to any alternative (e.g. the sibling json-patch-conflict) for non-assumption diffs. Usage is implied rather than routed.

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