Skip to main content
Glama

Dry run

dry_run
Read-onlyIdempotent

Compile a candidate ModelSpec in an ISOLATED throwaway runtime, apply optional sample mutations, and return the resulting merged state (base + derived) — WITHOUT registering it in the live registry. Use this to preview the full reactive cascade of a draft spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYesThe candidate ModelSpec.
mutationsNoOptional field mutations to apply, keyed by canonical JSON Path (e.g. {"$.price": 10, "$.qty": 3}).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 declare readOnlyHint=true and destructiveHint=false, indicating no side effects. The description adds important context that it runs in an isolated environment and returns merged state without registration. It also mentions a throwaway runtime, which is consistent with read-only behavior. The description adds clarity on the isolation guarantee, which is a valuable extension beyond 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 concise and front-loads the core purpose. It uses two effective sentences: the first covers the operation and outcome, the second states the intended use case. It is information-dense with zero filler, and the key differentiator (isolation) is prominent.

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?

The tool is complex with nested objects and rich schema, but the output schema exists, so return format is handled. The description covers the purpose, isolation, and intended use. It could mention the return value's shape or any error conditions, but given the annotation safety profile, this is sufficient for a correct invocation.

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 baseline is 3. The description adds context that mutations are applied within the dry run, reinforcing the isolation. But it does not explain the structure or constraints beyond what the schema already provides, so it meets the baseline without surpassing it.

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 clearly states the tool compiles a ModelSpec in an isolated runtime, applies optional mutations, and returns merged state without registration. It distinguishes itself from other tools by emphasizing the dry-run nature and preview capability, which is essential for correct selection.

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 explicitly states 'Use this to preview the full reactive cascade of a draft spec,' which gives clear context for when to use it. It implies not to use it for final registration or when live registry effects are needed, but it does not explicitly name alternatives or exclusion criteria. Given the many siblings, this is adequate guidance.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_audit explicitly subsumes get_history and explain, and get_state with paths overlaps get_field, creating minor selection ambiguity. The detailed descriptions help, but an agent could still reach for the wrong getter.

Naming Consistency4/5

Naming is overwhelmingly consistent: snake_case with verb_noun structure and coherent get_/create_/delete_ clusters. Minor deviations like bare verbs (mutate, explain, restore, snapshot) and eval instead of evaluate prevent a perfect score.

Tool Count3/5

27 tools is above the comfortable range and feels heavy, especially with several overlapping audit/state getters that could be consolidated. That said, the domain is broad enough that the count is defensible, so it is heavy but not chaotic.

Completeness4/5

The tool set covers the full model lifecycle well: create, validate, test, mutate, evolve, read, delete, plus snapshot/restore, audit, blobs, views, library, and expression evaluation. Minor gaps like explicit export/import or separate view-management tools are workable around.