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

With no annotations, the description carries full burden. It discloses that the tool lists service pillars and pricing tiers, implying a read-only operation. No additional behavioral traits (e.g., auth, performance) are mentioned, but for a simple list tool this is adequate.

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?

Two sentences: the first lists what the tool returns, the second gives a clear use case. No wasted words, front-loaded with core information.

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 no output schema, the description reasonably explains what is returned: descriptions, deliverables, price bands, and pricing tiers. Could be more explicit about structure (e.g., list format), but it gives a solid overview.

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 coverage is 100% (the only parameter 'vertical' has a description in the schema). The tool description does not add meaning beyond the schema, so baseline score of 3 is appropriate.

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 uses specific verb 'Lists' and identifies the exact resource: 'Agrus's six service pillars with descriptions, deliverables, and price bands' plus 'four published pricing tiers'. This clearly distinguishes from sibling tools like get_case_study or request_proposal.

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 suggests 'Use this for the 'what does Agrus do?' question', which provides clear context for when to invoke. However, it does not mention when not to use or offer alternatives, though the sibling list provides some contrast.

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