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Propose a workflow for a goal

workflow_propose

Describe a job in plain words and get back a workflow built only from tools this server really has: a name, the inputs it needs, and the steps in order, each with one sentence on why it is there. The proposal is honest about gaps: partial is true and missing names what could not be done, and when nothing here fits the answer says so instead of inventing a step. Send save: true to keep it on the account, after which workflow_run can run it by the returned id. Costs 10 credits, the price of one AI generation, charged once per proposal. Requires an API key linked to a ToolForte account. Get a free key at https://toolforte.com/developers and send it on the MCP connection as the header Authorization: Bearer tf_...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesThe job to be done, in a sentence or two, for example: take a CSV of invoices, sum the amounts per customer and write the totals to a spreadsheet.
saveNoSave the proposed workflow to the account so workflow_run can run it. Default false: the proposal is returned for you to read first.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
savedNoThe saved workflow's id and name, when save was true
stepsNoWhat each step produced
resultNoThe result, when it is not an object
missingNoWhat could not be done, named
partialNoWhether the workflow only does part of what was asked
definitionNoThe proposed workflow: name, declared inputs and steps
explanationNoPlain words on what the workflow does and why each step is there
creditsChargedNoCredits spent by this call

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
    • removedOutput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
  2. Added

TDQS

A4.4/5.0
Behavior5/5

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

Annotations only declare the safety profile (readOnly=false, destructive=false, openWorld=false, idempotent=false). The description goes well beyond that: it discloses the 10-credit cost charged once per proposal, the API-key requirement with the exact header format, the persistence semantics of save, and the honest-degradation behavior (partial flag, missing names, refusal instead of inventing steps). This is exactly the extra context annotations cannot carry.

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 purpose, then cost/auth/logistics, which is a sensible ordering. It is dense rather than padded, though the pricing clause ('Costs 10 credits, the price of one AI generation, charged once per proposal') and the full developer URL slightly stretch a definition that already covers the essentials.

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

Completeness5/5

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

Despite an output schema existing, it still summarises the return shape, and it covers the operational facts an agent needs before calling: mutation cost, credential requirement, and the save-to-run lifecycle with workflow_run. Nothing material is missing for a two-parameter tool.

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%, so both parameters are already documented in the schema, giving a baseline of 3. The description restates save's effect (kept on the account, runnable by returned id) and the goal's intent, adding marginal framing rather than new syntax or constraints beyond the schema.

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 (describe a job in plain words → get back a workflow) and specifies the exact return shape: a name, inputs, and ordered steps each with a rationale. It also distinguishes itself from siblings by noting the proposal is built only from tools the server actually has, and explicitly hands off to workflow_run once saved.

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?

Clear context for when to use it (you have a plain-language goal and want a plan) and it names the follow-on tool workflow_run plus the condition (save: true, then run by returned id). It stops short of an explicit when-not-to-use or a direct comparison to workflow_list for inspecting existing workflows, but the routing is otherwise unambiguous.

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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