get_solution
Retrieve a specific solution from the digihub content API using its slug.
Instructions
Fetch a single solution by slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Retrieve a specific solution from the digihub content API using its slug.
Fetch a single solution by slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only says 'Fetch'. It does not disclose behavioral traits such as authentication requirements, idempotency, error handling (e.g., if slug not found), or rate limits. The burden falls entirely on the description, which is insufficient.
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 with no wasted words, but it is too terse given the lack of other documentation. It is appropriately front-loaded but sacrifices necessary detail for brevity.
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?
With one parameter, no output schema, and no annotations, the description is incomplete. It does not mention return format, error states, authentication needs, or relation to sibling tools like list_solutions. For a simple retrieval tool, more context about expected behavior is needed.
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%, and the description merely restates the parameter name 'slug' without adding any semantics about format, source, or constraints. The parameter is left completely undefined.
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 'Fetch a single solution by slug' clearly states the action (fetch) and resource (solution) with a specific identifier (slug). It distinguishes from sibling tools like list_solutions (list) and create_solution (create).
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?
The description provides no guidance on when to use this tool versus alternatives (e.g., list_solutions or get_session). No context on prerequisites or suitable scenarios.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/M0TT3P/digihub-mcp'
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