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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does contribute some: 'Returns up to 50 bounded results with stable IDs and canonical URLs' discloses output limits, determinism, and URL stability — traits not visible in the schema. However, it omits meaningful behaviors such as default result ordering, how the offset parameter interacts with result boundaries, and what happens when no filters are supplied.

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 27-word sentence that front-loads the verb and resource, then compresses the full filter surface into one clause and closes with output characteristics. Every element earns its place; no redundancy with the schema, and 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?

The tool has 10 parameters, no output schema, and no annotations, so the description is the only source of return-value information. It covers result bounds and ID/URL stability, but given the offset and limit parameters, it should also state pagination or ordering semantics for an agent to navigate results correctly; the otherwise thorough schema mitigates this gap only for inputs, not outputs.

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 the baseline is 3 and the description does not need to re-explain parameters. It adds a small amount of semantic value by grouping speed_min/speed_max and stability_min/stability_max into 'speed range' and 'stability score range', which hints that these pairs are meant to be used together, though it does not address the limit/offset pagination pair.

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 description opens with a specific verb ('Search and filter') and resource ('disc golf discs'), then enumerates six distinct filter dimensions — text query, brand, category, speed range, stability score range, and flight class. This scoped enumeration makes the tool clearly distinguishable from siblings like get_disc (single fetch), compare_discs, and find_similar_discs, which are not search operations.

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 implies usage context — an agent should use this when it needs to discover or filter discs in the catalog — but it never explicitly states when to prefer it over get_disc, compare_discs, or find_similar_discs, nor does it give any exclusions or alternative routing. The 'search and filter' framing makes the primary use case obvious, so this is above 'no guidance' but below clear when/when-not instruction.

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