Skip to main content
Glama

List Clarity Process Summaries

listClarityProcessSummaries
Read-onlyIdempotent

Cross-process portfolio digest for every completed Clarity process on the team: per-process summary, SWOT, projected impact, and a step skeleton (role, system, and flow edges) — without step prose or source excerpts. Paginated (default 5, max 10). Use this to answer portfolio-wide questions in one pass; fetch a single process's full detail via getClarityProcessSnapshot only for the few that matter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoProcesses per page (1-10, default 5). Keeps the response under the MCP output cap.
detailNoskeleton = + per-step role/system/flow edges (default); summary = summary+SWOT+impact only (cheaper, for pure ranking).skeleton
offsetNoProcesses to skip (default 0).
team_idNoDuvo team UUID to operate on. API keys are pinned to a single team — omit this (it falls back to the key's team) or pass that same team; a different team is rejected. OAuth callers, who can span multiple teams, should pass the target team here.
include_current_stepsNoInclude the as-is (current) step skeleton too. Default false = proposed (to-be) steps only. Pass the literal string 'true' or 'false' (z.coerce.boolean treats any non-empty value, including 'false', as true).false

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already signal readOnly, idempotent, and non-destructive behavior. The description adds useful behavioral context beyond that: the tool only covers completed processes, it is paginated with defaults, and it excludes certain content types. This is meaningful added context without contradicting 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 tight and front-loaded: it leads with the tool's core purpose and return contents, then quickly explains pagination and gives the key routing guidance. No sentences are wasted and the most important discriminator is stated early.

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 read-only, no-required-param, paginated list tool, the description is complete: it names the return contents, scoping, pagination behavior, and the correct alternative for single-process detail. The absence of an output schema is compensated by the explicit enumeration of the response fields.

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?

Schema description coverage is 100%, so the schema already documents all parameters well. The description restates pagination defaults that appear in the schema and does not add substantial new meaning to any specific parameter. Baseline 3 is appropriate because the schema carries the burden.

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 states a specific action ('cross-process portfolio digest') and enumerates exactly what it returns: per-process summary, SWOT, projected impact, and a step skeleton. It also distinguishes this tool from getClarityProcessSnapshot, which covers single-process detail, so an agent can select among siblings without opening schemas.

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 gives explicit guidance: use this tool to answer portfolio-wide questions in one pass, and use getClarityProcessSnapshot only for the few processes that need full detail. It also states what this tool intentionally omits (step prose and source excerpts), which tells agents 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.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.1/5.0
Disambiguation2/5

Despite detailed descriptions, many tool names are highly ambiguous, with multiple tools covering the same conceptual actions (e.g., acceptClarityCaptureSuggestion vs. acceptClarityTeamAssignmentSuggestion, or the many deleteClarity*Interview tools). The set is so large that distinguishing between, say, listClarityFolders, listClarityProcesses, and listClarityProcessSummaries requires reading deep into descriptions, reducing agent selection accuracy.

Naming Consistency4/5

The naming convention is predominantly verb_noun (e.g., createClarityProcess, listAgents, deleteQueue), and is remarkably consistent across the 316 tools. There are only minor deviations, such as 'fileSuggestedClarityProcesses' (verb + adjective noun) and 'bulkUpdateCasePriority' (where 'bulk' could be seen as a prefix), but overall the pattern holds strongly.

Tool Count1/5

With 316 tools, this server is extremely oversized for any single agent to manage effectively. The massive number of tools suggests poor modularization—many of these tools likely belong in separate, smaller servers focused on specific domains (e.g., Clarity, Pulse, Agent management). The cognitive load for an agent to choose from 316 options is very high, leading to frequent misselection.

Completeness4/5

The tool surface covers an extraordinarily wide range of operations across the Duvo platform: agents, runs, cases, queues, Clarity processes, skills, integrations, notifications, teams, and more. Most resource types have full CRUD and lifecycle management. Notable minor gaps exist (e.g., no tools for managing specific notification batch severities dynamically, and some interview management is missing batch operations), but for the platform's scope, coverage is impressively thorough.

Resources