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Patch Model dictionaries

model_patch_project

Update title, calendar, viewId, streams, axes, phases, parameterSets, and/or chains. Send If-Match via rev. Replaces each provided dictionary in full.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
revNoExpected project rev (If-Match)
axesNo
titleNo
chainsNo
phasesNo
viewIdNo
streamsNo
calendarNo
parameterSetsNo

Schema Changelog

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

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

There are no annotations, so the description must carry the behavioral burden. It does disclose the optimistic concurrency requirement (If-Match via rev) and the important patch semantics that each provided dictionary is replaced in full. It does not mention permissions, side effects, or return behavior, but the core replacement and concurrency behavior is clearly communicated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loads the list of updatable fields before stating the If-Match and replacement behavior. It wastes no words, though the mention of 'parameterSets' without schema support creates ambiguity that slightly reduces structural clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and nine parameters with mostly missing schema descriptions, this description is not complete enough for reliable invocation. It does not explain the role of 'id' or most dictionary contents, and the 'parameterSets' mismatch leaves the agent with an unanswered question about the actual accepted input.

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?

Schema description coverage is very low: only 'rev' has a description. The tool description lists most parameter names but adds little semantic detail about their expected formats or contents, and it even mentions 'parameterSets,' which does not appear in the schema. Arrays and objects like axes, streams, calendar, and chains remain effectively undocumented.

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 states a specific action ('Update') and enumerates the exact fields involved (title, calendar, viewId, streams, axes, phases, parameterSets, chains), which makes the tool's purpose reasonably clear. However, it does not explicitly name the project resource or contrast itself with the model_upsert_* siblings beyond implying multi-dictionary updates.

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?

The description implies that this tool is for updating one or more project dictionaries at once, and it provides the key mechanism 'Send If-Match via rev.' It does not explicitly state when to prefer this over model_upsert_parameter or model_upsert_observations, nor does it mention exclusions or prerequisites.

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

B3.2/5.0
Disambiguation2/5

Many tools are mirrored across `artifacts_*` and `roadflow_*` with near-identical names and behavior, and within each family `get`, `export_json`, and `export_markup` overlap in what they return. Descriptions identify the target workspace, but an agent must carefully inspect prefixes and formats to avoid misselection.

Naming Consistency4/5

The set consistently uses lowercase snake_case with a domain prefix and predictable verbs like get, list, create, open, export, and apply. Minor deviations are bare commands (`new`, `discard`, `status`) and the parallel `artifacts_*`/`roadflow_*` prefixes, which make names look duplicated.

Tool Count3/5

At 23 tools, the surface lands in the heavy 16-25 range and feels padded because many operations are duplicated for two workspace types. Each subsystem alone would have a reasonable count, but combined the set is bloated.

Completeness4/5

The toolset covers the full workspace lifecycle: create, read, update via apply, discard, share, version, status, and multiple export formats. Missing cloud deletion and fine-grained element editing are minor gaps that can be worked around with full-state apply/export.

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