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run_theresanaiforthat_tasks

Fetch details for a There's An AI For That task by slug or URL, including tool counts, subscribers, subtasks, related tasks and ranking data.

Instructions

Get one task (category) from There's An AI For That by slug or URL: number of tools, models, robots and devices, subscribers, most popular tool, subtasks, related tasks and the top tools. Flat 5 points per successful run.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "task": "<task>"
    },
    "name": "run_theresanaiforthat_tasks"
  }
}

Input Schema

NameRequiredDescriptionDefault
taskYesTask slug or There's An AI For That URL. e.g. video-editing

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It adds value by listing the returned fields (tool counts, subscribers, subtasks, related tasks, top tools) and by disclosing a cost ('Flat 5 points per successful run'), but it says nothing about permissions, read-only nature, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the purpose before the return fields and cost. Efficient with little waste, though the roster of return fields is a slightly long run-on list.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description bears the burden of explaining returns, and it does list the payload fields adequately. Combined with a single fully documented parameter, an agent has enough to call it correctly; only usage/routing context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the schema already documents 'Task slug or There's An AI For That URL. e.g. video-editing'. The description merely restates 'by slug or URL', adding no format or syntax detail beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get one task (category) from There's An AI For That by slug or URL') and enumerates the returned fields. The word 'category' clarifies the resource type, which helps distinguish it from sibling tools like run_theresanaiforthat_tools or run_theresanaiforthat_companies, though it never explicitly names those siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no explicit naming of alternatives. The agent must infer from the resource noun ('task') that this tool is distinct from the tools/companies/countries siblings, which is weak routing guidance given the large family of near-identical names.

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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