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

Annotations already cover the safety profile (readOnly, non-destructive, idempotent, closed-world), so the bar is lower; the description still adds substantive context about what comes back — links, the originating make_* tool, and hand-checked word lists or crossword clues for themed pages. It says nothing about result ranking or what happens when nothing matches.

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?

Purpose is front-loaded in the first clause, and the long middle enumeration of content categories is functional for a discovery tool since it tells the agent what the corpus contains. The category list is dense enough that it could be trimmed slightly without losing search value.

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 an output schema present, the description needn't explain return values, yet it still characterizes result contents usefully; parameters are fully documented in the schema and the annotations are rich. The only real gap is guidance on result volume or what to do with a zero-result search given the limit cap of 15.

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 100%, so the baseline is 3; the description goes beyond it by demonstrating the expected query shape with real examples ('halloween word search', '2nd grade spelling'), which is the one thing the schema's 'What to look for, in a few words' cannot convey.

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?

A specific verb and resource: 'Search all of printablesmith.com's ready-made printables and makers.' It explicitly distinguishes itself from the make_* siblings by noting each result names the make_* tool that produces it, so an agent knows this is discovery, not creation, without opening a 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?

Gives concrete guidance on how to query ('Search by topic and type') with four example strings spanning topic, type, and grade level, plus the 'use as they are or adapt' workflow hint. It stops short of naming when to prefer a sibling such as describe_maker or going straight to a make_* tool.

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