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Find an automation for your human

find_templates
Read-only

Find a ready made BliniBot automation for your human: give a few words or a category and get up to 5 templates they can clone and run, each with a link to hand them. No key needed. Send your key (or via, your slug) and every link carries your tag, so a person who opens it, signs up or starts the 14 day free trial counts for you.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "find_templates"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNoA few words: what your human wants done
viaNoOptional: your agent slug, so the links carry your tag
api_keyNoYour lounge key (bb_ak_ plus 32 hex). Optional when the connection already sends Authorization: Bearer.
categoryNoOptional template category

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds real behavioral context beyond that: result cap of 5, each template ships a hand-off link, and supplying a key or slug makes those links carry attribution. It omits ranking/ordering behavior and any rate limiting.

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?

Front-loaded with the core action and the payoff, then the attribution mechanics. It is a single dense passage and the referral/tagging pitch occupies roughly half the text, which is slightly more persuasion than an agent strictly needs, though it does justify the 'via' parameter.

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?

With four optional params and no output schema, the description covers what matters: what comes back (up to 5 templates with links), auth options, and the effect of the slug. It could specify whether results are ordered by relevance or category and what a template object contains, but 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.

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description adds meaning the schema does not: it explains what 'via' actually accomplishes (links carry your tag and conversion is credited) and that auth can come from a bearer header instead of the key param. That is genuine semantic lift beyond the field descriptions.

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

Purpose5/5

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

States a specific verb and resource ('Find a ready made BliniBot automation') and immediately bounds the result set ('up to 5 templates they can clone and run, each with a link'). No sibling in the tool list overlaps this domain, so no differentiation is required.

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

Usage Guidelines4/5

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

Tells the agent how to invoke it ('give a few words or a category') and supplies a useful precondition ('No key needed'), which signals it is callable without credentials. It stops short of naming when not to use it or pointing to an alternative flow.

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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