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

Annotations only declare readOnly/idempotent/openWorld, but the description discloses the real output shape: interlocking grid, standard numbering, Across/Down lists, a report of unplaceable answers, a playable rendering, and a printable PDF with answer key. It also flags the normalization behavior on answers, which affects what the caller should pass in.

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?

Four sentences, each doing distinct work: trigger, behavior/output, input requirement, and exclusions. The trigger and the most surprising behavior (unplaced-answer reporting) are front-loaded, with no filler.

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?

With annotations and an output schema already present, the description covers everything an agent needs to decide and call: intake requirements, preprocessing, output forms, and the negative boundary. Only minor gap is that seed reproducibility is left entirely to the schema.

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 schema already documents seed, paper, title, and the entries structure with examples, so the schema carries the parameter burden. The description only restates the 4-40 entry-count constraint and the A-Z letter normalization, adding little that the schema does not already say. 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 and resource ('builds a valid interlocking grid', 'crossword puzzle') and immediately lists the user intents it serves (crossword maker, class puzzle, vocabulary list). It is trivially distinguishable from generate_sudoku and generate_word_search by naming the artifact type explicitly.

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?

Gives the triggering condition ('Use this when the user wants a crossword puzzle'), a preprocessing instruction ('if the user gives only words, write a short clue for each first'), and explicit exclusions ('does not solve existing crosswords or answer single clues... does not make symmetric newspaper-style grids'). This is close to a complete decision procedure.

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