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elaichi__synthetic_tool__execute

Run a saved multi-step Elaichi tool. Its steps call real third-party connections, so this has the same real-world, possibly irreversible side effects as toolbox.execute — with several actions per call. input must satisfy the tool’s own input_schema from synthetic_tool.get. Only the tool’s OWNER may run one — and ownership is the gate on every other synthetic-tool operation too (read, edit, delete): no permission reaches somebody else’s. Returns the tool’s mapped output on success; a failing step returns an error naming that step, and steps that already ran are not rolled back. Use toolbox.execute for a single provider tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesSynthetic tool id (`syn_…`) from synthetic_tool.list.
inputYesArguments matching the tool’s own input_schema (synthetic_tool.get). Required — send {} when it declares no inputs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With annotations only offering readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, the description carries the behavioral burden and meets it. It discloses real-world side effects across several actions, irreversible risk, no rollback of already-run steps, and the error shape on failure—none of which are in the annotations.

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

Conciseness5/5

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

The description is dense but every sentence contributes: purpose, side-effect warning, input requirement, ownership gate, return/error behavior, and sibling alternative. Important caveats are front-loaded before the ownership and routing details, with no filler or tautology.

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?

For a multi-step execution tool with no output schema, the description is unusually complete: it covers success and failure output, side effects, rollback behavior, permission requirements, input validation source, and the correct alternative tool. An agent has the information needed to invoke and interpret the call correctly.

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?

The schema already documents both parameters at 100% coverage, including the syn_ id source and the instruction to send {} for empty inputs. The description repeats that input must satisfy the tool's own input_schema, adding no new parameter-level meaning beyond the structured schema, so the high-coverage baseline of 3 applies.

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?

The description opens with a specific verb and resource: 'Run a saved multi-step Elaichi tool.' It goes beyond a generic label by naming the execution action and immediately distinguishes itself from toolbox.execute ('Use toolbox.execute for a single provider tool'), so an agent can separate execution from the synthetic-tool CRUD siblings.

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

Usage Guidelines5/5

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

It gives clear context for when this tool applies—running a saved multi-step synthetic tool—and explicitly names the alternative for single provider tools. It also states a hard prerequisite: the caller must be the tool's owner, and notes this permission rule is consistent across all synthetic-tool operations.

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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