fetch
Open a note by a search result's id (JSON). Not ChatGPT? Use read_file.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| url | Yes | ||
| text | Yes | ||
| title | Yes | ||
| metadata | No |
Open a note by a search result's id (JSON). Not ChatGPT? Use read_file.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| url | Yes | ||
| text | Yes | ||
| title | Yes | ||
| metadata | No |
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 externally. The description adds that the id originates from a search result and that output is JSON, but says nothing about failure behavior for a missing/invalid id or whether the note is rendered, which limits the added value.
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?
Two short sentences with the core action front-loaded and no wasted words. The trailing 'Not ChatGPT? Use read_file.' is terse to the point of being ambiguous, which costs a little clarity for the space it saves.
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?
An output schema exists, so return values need not be explained, and annotations cover the safety profile. For a one-parameter read tool this is nearly complete; the only real gap is that the odd ChatGPT/read_file routing clause is never resolved into an actionable rule.
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 0% — the single id property has no description in the schema — so the description must compensate. It does partially by stating the id should come from a search result's `id`, which is genuinely useful provenance, but it omits expected format or whether ids are stable across sessions.
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 (open a note) and identifies the id source as a search result's id, which separates it from generic reads. The sibling differentiation is attempted via the read_file reference, though the routing condition is cryptic rather than a clean distinction.
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?
It names an alternative (read_file) with the condition 'Not ChatGPT?', which is a routing hint but a strange one — an agent has no reliable way to evaluate whether it is 'ChatGPT'. Usage is implied rather than clearly specified, and no when-not conditions are given for the fetch case itself.
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.