read_post
Read one journal post in full (markdown body).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read one journal post in full (markdown body).
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates a read operation ('Read') and specifies the output format ('markdown body'). No annotations are provided, so the description carries the burden; it adequately discloses the read-only nature but omits details like authentication or rate limits.
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, concise sentence that efficiently communicates the tool's core function without unnecessary words.
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 simple read tool with an output schema (not shown), the description is largely complete. It covers the essential purpose and output format. However, the lack of parameter explanation slightly reduces completeness.
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 schema has 0% description coverage for the single required parameter 'slug'. The description does not explain what 'slug' represents, leaving the agent to infer it as the post identifier. Given the lack of schema documentation, the description adds minimal 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?
The description clearly states it reads one journal post and returns the full markdown body. It distinguishes itself from sibling tools like list_journal (listing) and product_detail/service_detail (different resources).
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, such as using list_journal first to obtain a slug. The description lacks explicit context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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