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Save ICC Plus project

iccplus_save_project
Destructive

Save project JSON atomically after optional strict validation, with overwrite and directory creation.

Instructions

Atomically save project JSON inside ICCPLUS_WORKSPACE after optional strict validation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNo
prettyNo
overwriteNo
project_idYes
require_validNo
expected_revisionNo
create_directoriesNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already mark this as destructive and non-read-only. The description adds value by noting atomicity and optional validation, which are not in the annotations. However, it omits key behavioral traits such as overwrite semantics, conflict handling via expected_revision, and what happens on failure. While it supplements annotations, the coverage is incomplete for a destructive operation.

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 a single, efficient sentence with no filler. It front-loads the primary purpose and includes two key qualifiers (atomic, optional validation). While it could benefit from a list of parameters or more detail, the structure is clean and the text is appropriately terse.

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?

With 7 parameters, no output schema, and destructive annotations, the description is far too brief. It doesn't explain return values, error handling, or the behavior of overwrite, expected_revision, or create_directories. The atomicity and validation mentions are useful but insufficient for an agent to safely invoke this tool without additional context.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain the parameters, but it doesn't. It only hints at 'strict validation' which maps loosely to require_valid. The other six parameters (path, pretty, overwrite, expected_revision, create_directories) remain entirely unexplained, leaving the agent to guess their meaning from names and defaults alone.

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 clearly states the action (atomically save), the resource (project JSON), and the location (inside ICCPLUS_WORKSPACE). It goes beyond a tautology by adding atomicity and validation context. However, it doesn't differentiate from sibling tools like create_project or update_entity, which might also save project data, leaving some ambiguity about when this specific save operation is intended.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It mentions 'optional strict validation' but doesn't clarify under what circumstances validation should be skipped or enabled, nor does it name alternative tools or exclusions. An agent would struggle to decide between this and similar operations like create_project or patch.

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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