Skip to main content
Glama
cshum

Imagor MCP

Official

validate_imagor_path

Parse an imagor path and check it round-trips unchanged, with a short summary of its transformation, so you can validate before serving.

Instructions

Parse an imagor path and report whether it round-trips unchanged, plus a short summary of the transformation it describes. Use this to check a path before serving it. To convert an existing path into an editable layout, use parse_template.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesan imagor path to validate, without a leading slash and without any signature prefix

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesthe path as parsed
validYeswhether the path is well formed and would not be silently ignored
stableYeswhether regenerating the parsed path reproduces the input exactly
rebuiltYesthe path regenerated from the parsed parameters
summaryYesa short description of the parsed transformation
problemsNoreasons imagor would ignore this path or fail to load it
warningsNothings imagor accepts but may not act on

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the nature of the result (round-trip check plus a short summary) and is implicitly a read-only analysis, but it says nothing about how malformed or invalid paths are surfaced (error vs. reported failure), which is the key behavioral question for a validation 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?

Three short sentences, front-loaded with the core behavior, followed by the usage cue and the sibling routing. No filler, and every sentence earns its place.

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

Completeness5/5

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

With an output schema present, return values need not be explained, and the description covers purpose, usage timing, sibling routing, and the input constraint. Nothing essential for a correct invocation is missing.

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?

There is a single parameter with 100% schema description coverage; the schema already documents the leading-slash and signature-prefix constraints, and the description adds no further format or syntax detail. Baseline 3 is appropriate when the schema does the heavy lifting.

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 and resource ('parse an imagor path and report whether it round-trips unchanged') plus the secondary output (transformation summary). It also distinguishes itself from the similarly named sibling by naming parse_template and its different purpose, so an agent can route correctly without opening either schema.

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

Usage Guidelines5/5

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

'Use this to check a path before serving it' gives an explicit when, and the final sentence names the alternative (parse_template) together with the condition that selects it (converting a path into an editable layout). Both the use case and the exclusion are stated.

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