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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only says the result is a 'Canon record' without explaining what that record contains, whether the lookup is read-only, how invalid inputs are handled, or whether lookup is case-sensitive.

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?

The description is a single sentence with no filler. It front-loads the tool's purpose ('Canon record for a single SPARKS dimension') and immediately gives the accepted input forms.

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 one-parameter lookup tool with 100% schema coverage, this is minimally adequate for invocation. However, with no output schema and no annotations, the description should disclose more about the returned canonical record, error behavior, or accepted name variants, and 'Canon record' is left underspecified.

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 description largely repeats what the schema already states: the dimension can be a letter or name. It adds the explicit S2 letter, but does not meaningfully enrich parameter semantics beyond the schema.

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 clearly identifies the resource type (a single SPARKS dimension) and the lookup key (letter or name). It also distinguishes itself from list_sparks_dimensions by emphasizing 'single'. However, it uses the noun phrase 'Canon record for' instead of an explicit verb like 'resolve' or 'returns'.

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?

Usage is implied rather than explicit: the description says it handles a single dimension by letter or name, which suggests using it when one specific dimension is needed. It does not state when to prefer list_sparks_dimensions or other sibling tools, and it gives no exclusion criteria.

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