Systemonomic

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

No annotations are provided, so the description carries full burden. It states the tool persists data, implying a write operation, but fails to disclose critical behavioral traits such as required permissions, whether it overwrites existing results, error handling, or side effects. This is inadequate for a mutation tool with zero annotation coverage.

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 front-loaded with the core purpose in the first sentence, followed by a concise Args section. There's no wasted text, but the structure could be slightly improved by integrating the parameter notes more seamlessly or adding a brief usage example.

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?

Given the tool has an output schema (which reduces need to explain return values) but no annotations and low schema coverage, the description is moderately complete. It covers the basic purpose and parameter hints, but lacks behavioral details and comprehensive usage context, making it insufficient for full agent understanding without external knowledge.

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?

Schema description coverage is 0%, so the description must compensate. It adds meaning by specifying that 'rows' are 'List of ATSS result objects (from run_atss_batch output)', which clarifies the source and structure beyond the bare schema. However, it doesn't detail the format of 'project_id' or the exact object schema for 'rows', leaving gaps.

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 action ('Persist') and resource ('ATSS assessment results to the project'), distinguishing it from siblings like 'run_atss_batch' (which generates results) and 'get_atss_results' (which retrieves them). However, it doesn't explicitly contrast with all siblings, such as 'create_task' or 'derive_task_suggestions', which may involve related data operations.

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 provides minimal guidance by mentioning that 'rows' should come from 'run_atss_batch output', but it lacks explicit when-to-use instructions, prerequisites (e.g., after running ATSS), or alternatives (e.g., vs. other persistence tools). No exclusions or comparisons to siblings like 'accept_suggestions' are given.

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