get_reading_log
Retrieve entries from your reading log to track progress and review past reading sessions.
Instructions
Get reading log entries.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Retrieve entries from your reading log to track progress and review past reading sessions.
Get reading log entries.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only says 'Get reading log entries.' It does not disclose whether this operation is read-only, requires authentication, or has any side effects. The description adds no behavioral context beyond the implied read operation.
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?
The description is a single short sentence, which is concise but lacks essential details. It is not wordy, but brevity here comes at the cost of clarity and completeness.
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?
Given the tool has one optional parameter and no output schema, the description should at least hint at what reading log entries are and how 'limit' affects the result. It fails to provide sufficient context for an AI agent to use the tool effectively.
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?
The input schema has one parameter 'limit' with no description (0% coverage). The description does not mention the parameter or explain its effect, such as whether it limits the number of entries returned. No added meaning beyond the 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?
The description states the verb 'Get' and resource 'reading log entries,' which is clear but very generic. It doesn't specify the scope or differentiate from sibling tools like 'get_profile' or 'get_bookstacks,' leaving ambiguity about what exactly a 'reading log' encompasses.
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?
No guidance on when to use this tool versus alternatives. With 19 sibling tools, including 'get_progress' and 'get_next_book,' the description provides no context for selecting this tool over others.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/aby0/reading-companion'
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