list_answer_pages
List citable English answer pages under /answers/.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List citable English answer pages under /answers/.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered; the description adds the meaningful qualifier that only "citable English" pages are returned. It says nothing about ordering, pagination, or how the `<slug>` scope is applied when no parameter exists to supply it.
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 front-loaded sentence with no filler. Every word ("citable", "English", the path) carries scope 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?
The tool takes no input and has no output schema, so the description is the only source of return-value context — yet it never says how many pages come back, in what shape, or how results relate to get_answer. Adequate for a trivial list call, but incomplete.
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?
With zero parameters the baseline is 4, but the description introduces an unexplained `<slug>` path element that has no corresponding input, which could leave the agent wondering whether a slug is required. That inconsistency costs a point despite the empty 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?
Uses a specific verb ("List") with a precisely scoped resource: citable English answer pages under /answers/<slug>. An agent immediately knows what it retrieves, though the reference to a `<slug>` path segment is never reconciled with the tool's zero-parameter schema.
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?
There is no guidance on when to call this versus the closely related get_answer sibling, nor any stated preconditions (e.g., needing an existing slug). The word "citable" implies a citing/answering workflow but the agent must infer that entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.