Read a docs section
read_docReturns one section of the Trickl docs in full (Markdown), by id from search_docs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Section id, e.g. "platform-api/sandbox-test-mode" |
read_docReturns one section of the Trickl docs in full (Markdown), by id from search_docs.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Section id, e.g. "platform-api/sandbox-test-mode" |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already covers the safety profile, so the description's added value is disclosing the return shape: exactly one section, returned in full as Markdown. Since no output schema exists, that disclosure matters. It stops short of describing error behavior for invalid ids or any size/truncation 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?
A single sentence with no filler; the return shape is front-loaded and the id provenance follows immediately. Every clause carries information an agent needs.
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 tool with annotations declaring read-only behavior and a fully documented schema, the description covers what it does, what it returns, and how to obtain the id. Nothing essential to a correct call 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 the schema already gives an example id format, so the baseline is met. The description adds real semantic value by tying the parameter to its source tool (search_docs), telling the agent where a valid id comes from rather than leaving it to guess.
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 (returns one section of the Trickl docs) plus scope (in full, Markdown). Naming the id's provenance (from search_docs) makes it easy to distinguish from the sibling search_docs, which locates rather than retrieves.
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?
"by id from search_docs" establishes the required workflow: search first, then read by id. There is no explicit when-not-to-use clause or statement about what happens for an unknown id, but the usage context is clear for a single-param lookup tool.
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.