get_resource
Read one authored guide or complete synthetic fixture and row schema. No URLs, files, conversations, or private records can be accessed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes | ||
| slug | Yes |
Read one authored guide or complete synthetic fixture and row schema. No URLs, files, conversations, or private records can be accessed.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | Yes | ||
| slug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds genuinely new context by enumerating what is explicitly out of reach (URLs, files, conversations, private records), which sharpens the closed-world boundary beyond openWorldHint=false alone.
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 short sentences, front-loaded with the action and followed by the access boundary; no filler. The second sentence earns its place as a real constraint, though the first sentence's phrasing is slightly muddled.
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 2-parameter read tool with no output schema and no annotation gaps, the description covers what can be retrieved and what cannot. It is thin on the return shape (single item vs. list, row schema contents) and on the slug semantics, which leaves an agent with open questions before calling.
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 description coverage is 0%, so the description must compensate. It partially does by hinting at what each `kind` value returns (documentation = authored guide, dataset = synthetic fixture and row schema), but it says nothing about the `slug` identifier, its format, or lookup failure behavior.
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 gives a verb (Read) and a scope (one resource) and implicitly maps the two `kind` values to 'authored guide' and 'complete synthetic fixture and row schema', which is useful. However, 'resource' is generic and the phrase 'complete synthetic fixture and row schema' is ambiguous, and there is no differentiation from the siblings search_reference and validate_records.
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?
There is no statement of when to use this tool versus search_reference or validate_records. The only guidance is a negative scope limit (no URLs, files, conversations, or private records), which is a boundary rather than usage direction.
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.