Get a post
get_postReturn one post as Markdown, with its URL, publish date and sources. Use the slug from search_posts or list_recent_posts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Post slug, e.g. web-bot-auth-signed-agents |
get_postReturn one post as Markdown, with its URL, publish date and sources. Use the slug from search_posts or list_recent_posts.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Post slug, e.g. web-bot-auth-signed-agents |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent and non-destructive, so the safety profile is covered. The description adds the return content (Markdown plus URL, date, sources), which is useful context, but says nothing about auth, rate limits, or behavior for an unknown slug.
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 tight sentences, front-loaded with the operation and its output, followed by the prerequisite source of the input. No filler.
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?
There is no output schema, but the description compensates by enumerating what a returned post contains. For a single-parameter read tool, nothing an agent needs in order to call it correctly is missing.
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% and includes a concrete example slug, so the baseline is 3. The description adds real value by naming which sibling tools produce a valid slug, which the schema does not convey.
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 (Return), the resource (one post), and the exact return shape (Markdown with URL, publish date and sources). An agent can distinguish this from the list/search siblings immediately.
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?
Tells the agent where to obtain the required slug (search_posts or list_recent_posts), which implies this tool is a follow-up fetch step. It does not state exclusions or when NOT to use it, so it falls short of a full routing rule.
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.