Fetch
fetchFetch one trend's full page text by the id search returned.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
fetchFetch one trend's full page text by the id search returned.
| 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 readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds that the payload is full page text rather than structured metadata, but says nothing about truncation, size limits, or what happens with an 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?
One short sentence with the resource and the id-source constraint front-loaded and no filler. Every clause earns its place.
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 what it returns and where the argument comes from. Only edge-case behavior such as oversized pages or invalid ids is left unstated, which is a minor 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 coverage is 0% and the single parameter is just typed as string, so the description carries the burden. It does this by identifying the id as the one returned by search, giving the agent provenance and a way to obtain a valid value.
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?
"Fetch one trend's full page text" gives a specific verb and resource and scopes the result to a single trend, which separates it from list-style siblings like top_trends or search_trends. It does not distinguish itself from get_trend, the closest-sounding sibling, so an agent must still infer which of the two returns metadata versus page text.
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?
"by the id search returned" establishes a clear prerequisite workflow: call search first, then fetch with a returned id. There are no explicit exclusions or comparisons to get_trend, so the guidance is clear but not complete.
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.