Get one Noddie Night answer
get_answerGet the full text of one Noddie Night answer by its id (ids come from search_noddie_night or list_categories).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
get_answerGet the full text of one Noddie Night answer by its id (ids come from search_noddie_night or list_categories).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered. The description adds that the return is the 'full text' of one answer, which is useful given there is no output schema, but says nothing about behavior on a missing/invalid id.
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 the verb, resource and constraint first, and the provenance note packed into a parenthetical. No filler.
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 one-parameter read tool with rich annotations and no output schema, the description covers purpose, parameter meaning and id provenance adequately. Only edge-case behavior (unknown id) is unaddressed, which is minor 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 0% — the schema only declares an integer 'id' with no description — so the description must compensate, and it does by defining the id as an answer identifier and pointing to the tools that produce valid ids. It could add format or example detail, but the essential meaning is supplied.
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?
States a specific verb and resource (get the full text of one answer) and scopes it to a single item by id, which separates it from the list/search siblings. It also hints at why you'd use it over search (full text vs. presumably snippet), though it doesn't say that outright.
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 parenthetical tells the agent where ids come from (search_noddie_night or list_categories), which effectively describes the workflow prerequisite for calling this tool. There is no explicit when-not or alternative-selection rule, but the context is clear.
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.