List Talonic Schemas

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds value by stating it returns data[] of schema summaries, that full field definitions are omitted, and that there are no arguments. This provides behavioral detail beyond the annotations.

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 concise with three clear sections: purpose, usage guidance, and returns/args. No unnecessary information. Every sentence serves a purpose.

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 simple listing tool with no parameters and minimal complexity, the description covers all necessary information: what it returns, how to use it, and where to find additional details (resource). Output schema exists but the description adequately summarizes the return.

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?

There are no parameters, and the description confirms 'ARGS: none.' The schema coverage is effectively 100%. With 0 parameters, the baseline is 4, and the description meets that.

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 starts with a specific verb ('List') and resource ('saved schemas'), and details the output fields (id, short_id, name, description, version, field_count). It distinguishes from sibling tools by noting that full field definitions are omitted and directing users to the talonic://schemas resource for those.

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?

Explicitly states when to use ('what schemas do I have', find a reusable schema before extracting) and when not to (one-off extraction with inline schema, directing to talonic_extract). This provides clear alternatives and context.

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