batch_get_reflection_prompts

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 does not state whether the operation is read-only, what 'pending reflection observations' means, how many results return, or any side effects. This is a significant gap for a tool with no annotation support.

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 concise sentence, which is efficient in length. However, it is under-specified rather than thoughtfully concise—it omits crucial details that would justify its brevity. The structure is fine, but the content is too sparse to earn a higher score.

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, no annotations, and a minimal description, the tool is incompletely specified. Key terms like 'pending reflection observations' are undefined, and the return format is unknown. For an agent to invoke this correctly, it needs more context about the input constraints and output structure. The single parameter mitigates complexity slightly, but the lack of essential detail makes this insufficient.

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 schema has 0% description coverage and the description does not mention the 'limit' parameter at all. While its meaning (number of results) is likely inferable, the description fails to add any explicit semantics, leaving the agent to guess the parameter's purpose and constraints beyond the default value.

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 verb ('batch get') and resource ('analysis prompts for pending reflection observations'), making the core purpose clear. However, it does not explicitly contrast with the sibling tool get_reflection_prompt (singular), relying on the 'batch' prefix to imply the distinction. This is strong but not fully differentiated.

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 usage for retrieving multiple prompts at once, but it does not provide explicit context on when to prefer this over the singular get_reflection_prompt or other sibling tools. No exclusions or alternative routing are mentioned, leaving the agent to infer the boundary from the tool name alone.

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