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agentkit__pipeline

Deterministic mid-task tools for AI agents: page to markdown, page brief, repair JSON, redact secrets, encode/hash, unit and timezone maths, business-day deadlines, cron scheduling and business-hours SLA maths, x402 seller monitoring, extract, validate. No LLM. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: POST https://api.firstmention.uk/s/agentkit/pipeline

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": {
      "tool": "<tool>"
    },
    "name": "agentkit__pipeline"
  }
}

Input Schema

NameRequiredDescriptionDefault
argsNoArguments for the tool.
toolYesTool name, e.g. convert, datetime, extract, validate, repair, redact, deadlines.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does add genuinely useful behavior: it is deterministic, uses no LLM, costs $0.01/call in USDC on Base (eip155:8453) paid via x402 in params._meta['x402/payment'], and names the HTTP endpoint. It still omits return format, error/failure behavior, and any rate limits, so the disclosure is partial.

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

Conciseness3/5

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

Capabilities are front-loaded, which is good, but they are crammed into a single run-on enumeration that is hard to scan and mixes capability catalog, pricing, and endpoint in one block. Nothing is badly redundant, but the dense list could be better structured for readability.

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

Completeness2/5

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

For a dispatcher tool routing to many subtools with a nested 'args' object and no output schema, the description should clarify how 'args' maps to each named tool and what the response looks like. It lists capabilities and payment but leaves the per-tool invocation and return semantics unaddressed, which is a notable gap given the complexity.

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 coverage is 100%, so the schema already documents the two parameters, establishing a baseline of 3. The description adds a little value by listing concrete tool-name values for 'tool' and clarifying that payment travels in params._meta['x402/payment'] rather than in 'args', but it does not explain how 'args' content varies per subtool.

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

Purpose3/5

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

The description enumerates many capabilities (page to markdown, redact, encode/hash, deadlines, extract, validate, etc.) and frames the tool as 'deterministic mid-task tools for AI agents,' but never states plainly that it is a single dispatcher/router that runs one named subtool per call. Because the capabilities overlap the individual sibling tools, an agent cannot cleanly tell what this tool uniquely does versus the per-feature tools.

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 and no acknowledgement that near-identical standalone siblings exist (convert, datetime, deadlines, encode, extract, redact, validate). The agent is left to guess whether to call the pipeline or a specific sibling, and no exclusions, prerequisites, or selection criteria are given.

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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