Get a reader
get_readerFetch a single reader by id. KnowledgeOwl API: GET /reader/{id}.json.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The reader id (a Mongo-style hex string). |
get_readerFetch a single reader by id. KnowledgeOwl API: GET /reader/{id}.json.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The reader id (a Mongo-style hex string). |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the HTTP GET endpoint detail, but does not describe behavior on missing ids or the response shape, though those are less critical for a simple read-only lookup.
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 front-loads the core action and target, with the endpoint as useful confirmation. There is no filler or redundant restatement of the title.
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-only lookup, annotations plus schema cover safety and input, and the description gives the endpoint. It is sufficient for an agent to call the tool correctly, though a note about list_readers or not-found behavior would make it even more complete.
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%; the id parameter is already documented as a Mongo-style hex string. The description does not add extra semantic detail beyond identifying id as the lookup key.
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 ('Fetch'), resource ('a single reader'), and selection criterion ('by id'), and includes the REST endpoint. This clearly distinguishes it from list_readers and other get_* siblings at a glance.
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 description implies the correct use case: retrieve one reader when its id is known. However, it does not explicitly say to use list_readers when multiple readers are needed, nor does it provide any when-not or alternative guidance.
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.
Each tool has a clearly distinct purpose targeting a specific resource (article, category, glossary, etc.) and action (create, get, list, update). There is no ambiguity or overlap between tool names.
All tools follow a consistent verb_noun pattern: create_X, get_X, list_X, update_X. The exception 'knowledgeowl_request' is a utility escape hatch, clearly marked, and does not break the overall pattern.
At 24 tools, the set is slightly above the typical 3-15 range but still well-scoped for a knowledge base API covering many resources. Each tool serves a distinct purpose, and no tools are redundant.
The tool set lacks delete operations for all resources, and update operations are only available for articles and categories. Missing get tools for glossary terms, snippets, and other resources, though list tools are provided. This leaves significant gaps in lifecycle coverage.