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get_workspace_summary

Read-only

Return a compact application, flow, sequence, operation, and bot summary — the cheapest way to orient in a workspace. Read-only, no side effects. Deliberately omits variables and full flow graphs: use get_variable_context for variables, get_flow_context for a flow's topology, and get_application_context when you need flows, bots, and variables together.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowIdNoNarrow the summary to one flow. Omit to summarize every flow in the application.
applicationIdNoApplication (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / applicationId / description
      Added value: +"Application (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id."
    • addedInput schema / properties / flowId / description
      Added value: +"Narrow the summary to one flow. Omit to summarize every flow in the application."
  2. First observed

TDQS

A4.8/5.0
Behavior4/5

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

The description restates the read-only nature, which matches the annotation, and adds a behavioral detail about the omission of certain data. It also notes a specific error condition for personal keys when applicationId is omitted (MCP_APPLICATION_REQUIRED), which is useful context not captured in annotations. The description does not contradict 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 three sentences, each adding value without redundancy. The first sentence states the purpose, the second confirms safety, and the third provides usage boundaries with alternatives. No filler or repetition.

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 lacking an output schema, the description sufficiently characterizes the return content (compact summary of entities) and clearly explains parameter behavior and error conditions. With two optional parameters and full schema coverage, the description completes the picture for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, yet the description adds significant meaning: for flowId it clarifies that omitting it summarizes all flows; for applicationId it explains default behavior and error handling, and suggests calling list_applications. This goes well beyond the basic schema descriptions.

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 clearly states that the tool returns a compact summary of application, flow, sequence, operation, and bot details, and labels it as the cheapest way to orient in a workspace. It distinguishes itself from sibling tools by explicitly listing what it omits (variables, full flow graphs) and directing to alternatives, making the purpose unambiguous.

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?

The description provides explicit when-to-use and when-not-to-use guidance, italicizing the omitted features and naming specific sibling tools (get_variable_context, get_flow_context, get_application_context) for more detailed needs. This directly informs the agent about appropriate invocation contexts.

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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