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Update Clarity Process Link

updateClarityProcessLink

Update a process-to-process link in the organization's Clarity landscape when the caller can manage both endpoint teams.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoRelationship type between the source process node and target process node
orgIdYes
stateNoWhether the link is suggested by Duvo or confirmed by a user
confidenceNoConfidence score from 0 to 1, or null to clear it
source_node_idNoReplacement hierarchy node id for the source process
target_node_idNoReplacement hierarchy node id for the target process
process_link_idYesUnique process-link identifier

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already convey that this is a mutating, non-idempotent operation. The description adds a meaningful authorization requirement ('when the caller can manage both endpoint teams'), which is exactly the kind of auth context that helps an agent avoid failed calls. No behavioral contradictions exist.

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 entire description is one tight sentence that front-loads the core operation and appends the critical permission condition. There is no filler or redundancy.

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 the decent schema coverage, the mutation annotations, and the explicit caller-permission condition, the description is largely sufficient for an agent to invoke this tool correctly. It could be slightly stronger by noting whether updates are partial or full replacements, but the schema's 'Replacement' wording on node IDs partially covers this.

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 high at 86%, with parameters like type, state, confidence, source_node_id, and target_node_id already documented meaningfully. The description itself adds no parameter-level information, so the baseline score of 3 is appropriate.

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 verb ('Update') and resource ('process-to-process link') within a defined scope ('the organization's Clarity landscape'), clearly distinguishing it from sibling tools like createClarityProcessLink, deleteClarityProcessLink, and listClarityProcessLinks. The added authorization condition further narrows the tool's role.

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?

The description provides a clear usage prerequisite: the caller must be able to manage both endpoint teams. However, it does not explicitly state when not to use this tool or name alternatives such as creating or deleting a process link, so it stops short of full alternative routing.

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

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.

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