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Model register status

model_status

Counts, rev, and /model/?id= URLs for the bound project (or pass id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo

Schema Changelog

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

  1. Added

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It only lists output content and gives no indication of whether this is read-only, whether it requires special permission, or if it has any side effects. For a status tool this is likely safe, but that is not explicitly stated.

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 a single sentence with no filler words. It prioritizes the core outputs and scope. While telegraphic, every word contributes; this is concise rather than verbose.

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

Completeness3/5

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

For a simple one-parameter tool with no annotations and no output schema, the description gives the essential outputs and scoping. However, domain-specific terms like 'bound project' and 'rev' are undefined, and it is not clear what the returned URLs/counts describe. It is adequate but leaves gaps an agent may need to infer.

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 coverage is 0%, but the description does add meaning to the 'id' parameter by indicating it is optional ('or pass id') and that it scopes the call away from the bound project. It still leaves the exact nature of 'id' (e.g., model id? project id?) and format unspecified.

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 title 'Model register status' plus the description's enumeration of outputs ('Counts, rev, and /model/?id= URLs') make it clear this tool reports status information for models. It lacks an explicit verb and doesn't contrast with sibling tools, but the resource and scope are identifiable.

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 phrase 'for the bound project (or pass id)' offers context on when to use the tool and suggests the id parameter as an alternative scope. However, it does not name any sibling tools as alternatives or state when NOT to use this tool, so guidance is implied rather than explicit.

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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