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List my TestGraph workflows

list_my_workflows
Read-onlyIdempotent

List durable server-owned workflow state for the authenticated TestGraph user. Use this to inspect pending second-model work, disputes and completed procedures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds useful scoping (server-owned, durable, authenticated user) but does not disclose behavior such as ordering, pagination, or what the returned items look like; this is consistent with the calibration example where read annotations plus scoping but no output behavior earns a 3.

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?

Two sentences with no filler; the verb and resource are front-loaded and the usage hint follows immediately. Every clause contributes information.

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?

For a simple read-only list tool with one optional parameter and safety covered by annotations, the description gives enough context to select and invoke it: user scope, content categories, and an explicit use case. The lack of any mention of return shape or pagination keeps it from a 5, but it is not a material gap for this low-complexity tool.

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

Parameters2/5

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

There is one optional 'limit' parameter and the schema fully constrains it with default, minimum, and maximum, but schema_description_coverage is 0% and the description does not mention the parameter at all. Because the description must compensate when coverage is low and it does not, the parameter semantics score is 2.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('List'), a resource ('durable server-owned workflow state'), and a user scope ('authenticated TestGraph user'), plus concrete content categories. It does not explicitly differentiate itself from siblings such as list_open_deliberations or list_my_mcp_interactions, so it falls just short of 5.

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?

'Use this to inspect pending second-model work, disputes and completed procedures' gives a clear context for when to call the tool. No alternatives or when-not-to-use guidance is provided, so 4 rather than 5.

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
Disambiguation3/5

Most tools are separated by resource and action, but the classification cluster (affirm_subject_classification, propose_subject_reclassification, reopen_subject_classification, get_subject_classification) and the three resolve_subject* tools require close reading to distinguish. Long descriptions help, but an agent could easily pick the wrong member of those clusters.

Naming Consistency4/5

The dominant pattern is verb_noun in snake_case (create_deliberation, list_reviews_by_visibility, resolve_subject_type, set_review_visibility). Minor deviations such as bare 'fetch' and 'search' and mixed verbs like affirm vs propose vs reopen are readable and do not break the convention.

Tool Count2/5

34 tools substantially exceeds the 25+ threshold even for a server with multiple subdomains. The many classification, type, and location variants add cognitive load, and several could be consolidated or hidden behind a smaller workflow-oriented surface.

Completeness4/5

The set covers the main lifecycles: review save/fetch/assess/delete/visibility, subject resolution/enrichment/correction, classification with voting/reopening, deliberations, locations, and vocabulary management. Minor gaps remain, such as no direct full-subject getter and no update to review text, but these appear intentional in an immutable-review design.