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 covered. The description adds valuable behavioral context by describing the report's sourcing (real SEC 10-K figures, not modeled) and analytical content, helping the agent understand what the tool returns. No contradictions with 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?

A single paragraph that is informative but somewhat verbose. It front-loads the action but then spends several clauses describing the report's content. While thorough, it could be tightened. Not overly long, but not minimal.

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 zero-parameter tool without an output schema, the description is complete: it states what the tool does, what the report contains, and when to use it. There is nothing an agent needs to know about inputs, and the output is described conceptually. It even clarifies the difference from an LLM-generated summary.

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 tool has zero parameters, so the description does not need to explain any inputs. The baseline for a 0-parameter tool is 4, and the description does not need to compensate for missing schema info. It implicitly treats the tool as a simple informational lookup.

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?

States a specific verb ('Get') and resource ('details and pricing for Edge Thirteen's current Industry Primer report'), and clearly describes the report's content and sourcing. It distinguishes itself from an LLM-generated summary and implicitly from the sibling preview tool by emphasizing the real SEC 10-K data.

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?

Provides a clear use case: investment research needing a sourced industry-level writeup rather than an LLM-generated summary. However, it does not explicitly mention the sibling 'get_primer_preview_table' or give when-not-to-use guidance, so it lacks explicit exclusions or alternative routing.

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