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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It only says 'get detailed documentation', which is nearly as vague as the tool name. It does not describe the return format, error handling for unknown classes, or any potential side effects (though none are likely). This is insufficient transparency.

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, front-loaded sentence that directly conveys the tool's purpose without superfluous words. It is appropriately concise for a simple tool.

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 tool with only one parameter and no output schema, the description is minimally adequate but leaves gaps. It does not clarify what 'detailed documentation' entails (e.g., text format, fields), and it fails to explicitly differentiate from the sibling search tool. The simplicity of the tool partially compensates for this missing context.

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?

The input schema already provides a clear description for 'className' with examples ('Edit', 'AudioTrack', 'Plugin'), and coverage is 100%. The tool description adds the 'Tracktion Engine' context but does not materially enhance parameter understanding beyond what the schema already does, so baseline 3 is appropriate.

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 states the tool's verb and resource: 'Get detailed documentation for a specific Tracktion Engine class'. It distinguishes itself from the sibling 'search_te_classes' by focusing on a specific class rather than search, making the purpose unmistakable.

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 that the user must already know the exact class name ('specific class'), but it does not explicitly mention when to use this tool over the sibling 'search_te_classes'. There is no guidance on what to do if the class is unknown or if the tool can handle non-existent class names.

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

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 behavioral disclosure. It does not explain what the search returns, whether matching is partial/fuzzy, case sensitivity, or any other behavioral traits. This leaves the agent with insufficient information about the tool's behavior.

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 that efficiently front-loads the action and resource. It is appropriately sized with no unnecessary words or redundant information, demonstrating excellent conciseness and structure.

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 no output schema and no annotations, the description should at least indicate the return format or result behavior. It does neither, leaving the agent without knowledge of what the search yields or how results are presented. This makes the tool contextual incomplete despite its simplicity.

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?

Both parameters ('query' and 'limit') are fully documented in the schema with descriptions, giving 100% schema coverage. The tool description adds no additional parameter semantics beyond what the schema already provides, so the baseline of 3 is appropriate.

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 uses the specific verb 'search' and identifies the resource as 'Tracktion Engine classes,' with a clear scope of matching by name or description. It does not explicitly contrast with the sibling 'get_te_class_docs,' but the purpose is unambiguous and distinct enough for a 4.

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?

There is no guidance on when to use this tool versus the sibling 'get_te_class_docs,' nor any mention of typical workflows, prerequisites, or exclusions. The description simply states what the tool does without any usage direction.

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