suggest_skill_chain

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does disclose deterministic matching, labeled recommendations, and the combination of skills+tools into a chain. It does not state whether the chain is executed, what the return value contains, or any side effects or restrictions.

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 compact and front-loaded: the first sentence states the planning action, and the second clarifies the output nature. The parenthetical 'deterministic catalog match, labeled' is dense but useful for sibling differentiation without adding excessive length.

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 a single task parameter, the purpose and general output shape are conveyed. However, with no annotations and no output schema, the agent must still infer whether the chain is actually executed, what 'labeled' means, and how this differs from LLM-planning siblings. It is adequate but incomplete.

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 only parameter, task, already has a description in the schema, and schema coverage is 100%. The tool description adds no additional parameter-level detail, so it meets the schema-covered baseline but does not go beyond it.

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 states a specific action: 'Plan a task with Needle over registry tools and attach skill recommendations per step.' It also signals that it combines skills+tools into one executable chain, which distinguishes it from pure skill-search siblings. However, terms like 'Needle' and 'labeled' are unexplained, leaving some ambiguity.

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 phrase 'deterministic catalog match' implies this tool is appropriate when a deterministic, catalog-based plan is preferred, and 'one executable chain' suggests use when an executable plan is needed. However, it does not explicitly compare against sibling tools like llm_suggest_route or state when not to use this tool.

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