Analyse task requirements

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds cost/latency context ('Cheap single-question-batch call'), which is genuine value beyond annotations, but there is no output schema and no description of what the classification returns (boolean flags, labels, confidence), leaving a real gap for a classification tool.

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?

Two tightly written sentences with the purpose front-loaded and the enumerated categories doing useful work. 'Cheap single-question-batch call' is slightly cryptic and could be clearer about batching semantics, which is the only real flaw.

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 single-parameter, read-only classification tool the description is largely sufficient: the enumerated categories effectively disclose the expected output dimensions even without an output schema. The missing piece is how that classification is returned and consumed, plus the unresolved meaning of 'batch.'

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?

Only one parameter and schema coverage is 100%, with the schema already stating 'The user task to classify.' The description adds only the notion of a 'single-question-batch call,' which is ambiguous about whether one or many queries may be supplied. Baseline 3 is appropriate since the schema carries the parameter burden.

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 ('Classify') and the exact dimensions being classified (current information, documentation, repository access, files, computation, database, browser, literature), so the agent knows precisely what the call produces conceptually. It does not name the sibling it feeds into (systemone_decide_tools) explicitly, so sibling differentiation is implied rather than stated, keeping it below a 5.

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?

'before deciding on tools' gives a clear workflow position: this is the pre-step that precedes tool selection. There are no explicit exclusions or named alternatives, so an agent infers rather than is told which sibling to call afterward.

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