get_answer
Full text for one answer page by slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Answer slug, e.g. is-ai-automation-cheaper-than-hiring-a-consultant |
Full text for one answer page by slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Answer slug, e.g. is-ai-automation-cheaper-than-hiring-a-consultant |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that the tool returns the full text of one page, but it does not discuss truncation, errors for missing slugs, or response behavior beyond that.
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 a single, front-loaded sentence with no wasted words. It directly conveys the essential operation and selector.
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 simple read-only lookup with complete schema coverage and clear annotations, the description provides enough context: it identifies the resource, selector, and that full text is returned. Minor omissions like invalid-slug behavior are not critical here.
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%, and the single slug parameter is fully documented with an example in the schema. The description only restates that the lookup is by slug, so it adds no meaning 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 description clearly states the resource (answer page), scope (one page), and selector (slug), and it implicitly contrasts with list_answer_pages by specifying a single page. It does not name a sibling explicitly, but the purpose is unambiguous.
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?
Usage is only implied: an agent can infer this tool is for retrieving the full text of a specific answer page when it already has a slug. It does not explicitly say when to choose this over list_answer_pages or what to do if the slug is unknown.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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