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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

read_runs_summary

Retrieve summary counts of workflow runs by state (running, waiting, completed, failed, expired, total) across your tenant.

Instructions

Counts of runs by state across the tenant (running, waiting, completed, failed, expired, total).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided; description only states what is counted, not how the data is fetched, permissions, or rate limits. Adequate but minimal for a read-only summary.

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?

Single sentence, no filler, clearly states purpose and scope.

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?

Given no parameters and no output schema, the description adequately explains what the tool returns. Could optionally mention return format, but not necessary for such a simple summary.

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?

No parameters exist; schema coverage is 100%. Description adds value by specifying the output content (states and total), exceeding the schema's empty properties.

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?

Clear verb 'counts' and scope 'of runs by state across the tenant', listing specific states (running, waiting, completed, failed, expired, total). Distinguishes from list_runs and read_run.

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

Usage Guidelines3/5

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

Implies use for summary counts rather than individual runs, but no explicit when-to-use or when-not-to-use compared to sibling tools like list_runs.

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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