get_task
Retrieve the full details of a specific SEO task using its UUID, slug, or task URL.
Instructions
Full task detail (by UUID, slug or task URL).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the full details of a specific SEO task using its UUID, slug, or task URL.
Full task detail (by UUID, slug or task URL).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It indicates a read operation without explicit read-only declaration. It does not disclose potential behaviors like error handling or authentication needs.
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 very concise at one sentence. However, it sacrifices essential parameter details, making it slightly under-specified but still efficient.
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?
Given no output schema and a complex concept of 'task detail', the description is incomplete in explaining the return format. It is adequate for a simple retrieval but could be more helpful with details.
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 input schema is empty with additionalProperties: true, yet the description expects identifiers. It adds meaning that parameters are needed (UUID, slug, URL) but does not specify exact parameter names or format, leading to potential confusion.
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 the tool retrieves full task details by UUID, slug, or URL. It is a specific verb-resource combination, but the lack of parameter definition in the schema introduces ambiguity.
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 implies usage for fetching a single task by identifier, but does not provide guidance on when to use this over sibling tools like list_tasks or get_annotation, nor does it mention when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/SEOcrawl/seocrawl-mcp'
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