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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds behaviour the annotations do not: it states the tool returns programmes with eligibility criteria and application steps, which tells the agent what kind of answer to expect from an open-world lookup.

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?

Strongly front-loaded: purpose first, then examples, then return shape. The example list is long but each phrasing targets a distinct query intent an agent may have to match against, so the length is largely earned.

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 three fully documented parameters, rich annotations and no output schema, the description supplies what is missing: what it returns (qualifying criteria and how to apply). Only the ambiguity versus sibling tools leaves a small gap.

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 bill/state/country are each fully documented with accepted values and defaults; baseline 3 applies. The description's examples reinforce how the 'bill' argument is phrased but add no syntax or constraints beyond the schema.

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 title and first sentence name a specific resource ('official help programmes for a bill') and the example phrasings make the retrieval purpose unmistakable. It does not explicitly contrast itself with get_bill_script or get_call_reminder, so it stops short of full sibling differentiation.

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 six quoted example queries implicitly define the situations this tool is for (subsidy/social-tariff questions), which is stronger than nothing. However, there is no explicit when-to-use rule and no naming of the sibling tools as alternatives, so routing between the three siblings 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.