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

Beyond the read-only/idempotent annotations, it discloses substantial context: that the schema is returned unfiltered, that APiXO uses custom request_schema.input.properties arrays rather than JSON Schema, that the backend validates parameters, that 'execution' does not convey permissions, that codecs come from schema.mcp, and that it is free with no account. These are non-obvious traits the agent could not otherwise know.

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 the key caveat about custom schema structure. The later sentences ('execution only describes transport/result adaptation...') are dense and slightly cryptic but each carries a distinct constraint, so waste is limited.

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?

An output schema exists, so return values needn't be spelled out, yet the description still characterizes the 'schema' field and warns about codec/decoder requirements — useful. For a one-param read tool this is nearly complete; only an explicit pointer to when to use it alongside list_models is missing.

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 single 'model' parameter already documents 'Canonical public model ID or exact slug alias; never a URL.' The description's 'by canonical ID or exact slug' restates that, adding no format or constraint detail beyond the schema. 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 — 'Read the complete published task model schema by canonical ID or exact slug' — with a clear scope ('complete published', 'without filtering or normalization'). It does not name the sibling it complements (e.g. list_models), so differentiation is inferred rather than explicit.

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?

It implies usage through 'Follow schema for model parameters; the backend validates them' and warns against inferring permissions from 'execution', but there is no explicit statement of when to call this versus list_models or the generate_* tools. The agent must infer that this is the step before generation.

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