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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior, so the bar is lower. The description adds genuinely useful behavioral context: answers are grounded in mudpie.ai's published information, include sources, and can be shaped by caller-supplied context.

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 short sentences front-load the core action and scope, then add the key behavioral promise (direct answer with sources) and a practical caller instruction. Every sentence earns its place with no repetition of schema or annotation 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?

With no output schema, the description usefully states the return shape ('direct answer... with sources') and handles the optional-context workflow. It is less complete on tool selection, since six sibling tools overlap with parts of this tool's broad scope, and the description gives no routing rule beyond 'ask anything.'

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 100%, so the schema fully documents all 12 parameters and the description does not need to repeat them. The only added guidance is the general invitation to provide relevant context, which maps loosely to the optional context fields but adds no parameter-specific detail.

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 identifies a general Q&A tool for mudpie.ai covering product, pricing, setup, limitations, and comparisons, promising a direct answer from published information with sources. It doesn't explicitly distinguish itself from siblings like mudpie_pricing or mudpie_compare, so it falls short of a 5.

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 tool's scope is clear ('Ask anything about mudpie.ai...'), which implies when an agent should call it, and 'Add relevant context if you have it; otherwise just ask' gives a small usage hint. However, it never states when to choose a specialized sibling (pricing, compare, requirements_check) or when not to use this tool, so routing is left to inference.

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