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Retry Workflow

retry_workflow

Continue a stalled or finished workflow run from a chosen step. This starts a NEW run that reuses the outputs the original run already recorded and only executes — and only pays for — the steps from 'from_step' onward. The original run is left untouched and the new one records which run it continues. Omit 'from_step' to resume at the first step that has no recorded output. A step whose output was never recorded is re-run, never skipped. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_stepNoZero-based index of the first step to actually execute. Defaults to the first step with no recorded output.
session_idYesThe workflow session id to continue from.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

TDQS

A4.7/5.0
Behavior5/5

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

Description goes beyond annotations by explaining that a new run is created, original untouched, only steps from 'from_step' are executed and paid for, and steps without recorded output are re-run. It also states 'Requires authentication.' Annotations only provide hints; this adds crucial behavioral details.

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?

Description is four sentences, front-loaded with the main action. Each sentence adds distinct information: purpose, new run behavior, default behavior, and re-run rule. No redundancy.

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?

Given the tool has only two parameters and an output schema, the description is complete. It covers purpose, usage, parameter behavior, cost, and authentication. It does not need to explain return values as output schema exists.

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?

Input schema covers both parameters with descriptions. The description adds the default behavior for 'from_step' (resume at first step with no output) and clarifies that steps without output are re-run, not skipped. This adds value 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?

Description clearly states the tool continues a stalled or finished workflow run from a chosen step, creating a new run that reuses outputs. This distinguishes it from siblings like 'run_workflow' (starts new) and 'advance_workflow' (likely advances). The verb 'continue' and resource 'workflow run' are specific.

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?

Description provides usage guidance: omit 'from_step' to resume at first step without recorded output. It implies use when workflow is stalled or finished and you want to resume from a specific point. However, it does not explicitly compare to sibling tools or state when not to use it.

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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TDQS

A3.6/5.0
Disambiguation5/5

Every tool targets a distinct resource and action, with detailed descriptions that clearly separate overlapping domains (e.g., consulting vs. marketing vs. outreach). Even within the same domain, tools like 'create_consulting_deliverable' and 'create_consulting_document_revision' are unambiguous due to their specific nouns.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., 'create_invoice', 'get_deal', 'list_agents'). The few exceptions like 'locus_determine_from_scores' still adhere to the verb_noun structure and do not break the pattern.

Tool Count1/5

With 124 tools, the server is massively over-scoped for typical MCP use. The tool count far exceeds the '50+ extreme mismatch' threshold, making it nearly impossible for an agent to efficiently navigate or select the right tool without extensive context. Even a large platform should consolidate or expose fewer tools.

Completeness5/5

The tool surface covers CRUD and lifecycle operations across at least 10 domains (sales, consulting, marketing, outreach, accounting, workflows, ticketing, API keys, feedback, platform metrics). Each domain appears to have no obvious gaps—e.g., invoicing includes create, update, send, mark paid, void; ticketing includes create, update, archive, dependencies, batch, scenarios, validation.

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