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Glama

blueprint_apply

Destructive

Builds or updates a complete game table from a validated blueprint, with dry-run preview and persistent ID mappings. Reapplying updates existing objects without duplication.

Instructions

Build/update a complete table from a validated blueprint: plan, templates, tracked objects, poses, properties and scripts. Stable id/key mappings persist locally. Dry run first; set dry_run=false to apply. Reapplying updates GUIDs without duplicating existing objects. Does not delete omitted objects or provide atomic rollback. Templates are cloned into standalone objects.

Input Schema

NameRequiredDescriptionDefault
dry_runNo
table_idNoOmit to use the active connected table.
blueprintYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.6/5.0
Behavior5/5

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

Adds substantial context beyond annotations: omitted objects are not deleted, there is no atomic rollback, templates are cloned into standalone objects, and stable id/key mappings persist locally across applies. These are precisely the mutation risks an agent needs to weigh before calling a destructive write tool.

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?

Roughly six short sentences, each carrying a distinct fact, with the core action and the dry-run safety step front-loaded. No filler or restatement of the name.

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 a deeply nested schema and a destructive write, the description covers the important caveats (no rollback, no deletion of omitted objects, idempotent-style reapply behavior). The remaining gap is return behavior: with no output schema, the agent gets no hint about what a dry-run report contains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only 3 params and 33% schema coverage, so the description has to compensate — and it largely does: it explains dry_run's role, the meaning of persistent ids/keys, and that templates are cloned (clarifying the '$key' vs library-id template field). It still doesn't explain how objects are matched on reapply or what 'poses' map to (position/rotation), so it stops short of full coverage.

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?

States a specific verb+resource ('Build/update a complete table from a validated blueprint') and enumerates exactly what the blueprint contains (plan, templates, tracked objects, poses, properties, scripts). The 'complete table' scope implicitly separates it from single-object siblings like objects_spawn and objects_patch.

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?

Gives an explicit operating sequence: 'Dry run first; set dry_run=false to apply,' which tells the agent the safe default and how to commit. It does not, however, name an alternative tool (e.g. table_plan_apply or objects_spawn) or state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.