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pixera_get_layer_json

Get the raw JSON description for a specified Pixera timeline layer to inspect its properties, structure, and configuration.

Instructions

Return Layer.getLayerJsonDescrip for one layer (raw JSON string from Pixera).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
layerYes
timelineYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does disclose one genuinely useful behavioral trait beyond the schema: the return is a raw, unparsed JSON string from Pixera (Layer.getLayerJsonDescrip), which tells the agent to expect opaque JSON rather than a normalized object. It says nothing about read-only guarantees, permissions, or failure modes, so it is only partially sufficient.

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?

A single front-loaded sentence with no filler; the scope ('for one layer') is placed immediately after the verb. The internal method name is mildly jargon-heavy but does convey that the payload is a raw Pixera structure.

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?

An output schema exists, so the description is not obligated to enumerate return fields, and the raw-JSON note is a reasonable pointer to it. However, with two required, undocumented parameters and no usage guidance, an agent still lacks enough to invoke this confidently without inspecting the schema and guessing at identifier formats.

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

Parameters2/5

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

Schema description coverage is 0% and both parameters (timeline, layer) are required with no descriptions. The description only implies that 'layer' identifies the target layer and never mentions the timeline parameter or the expected identifier format (name vs. index vs. UUID), so it fails to compensate for the coverage gap.

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 gives a concrete verb (Return) and resource (Layer.getLayerJsonDescrip for one layer), so an agent knows it fetches a layer's JSON descriptor rather than lists or mutates anything. It does not differentiate itself from nearby read-adjacent siblings like pixera_get_param, pixera_describe, or pixera_call, which is the only thing keeping it out of the top band.

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?

There is no statement of when to reach for this tool versus pixera_get_param, pixera_describe, or pixera_call, nor any prerequisite (e.g., an active project/timeline). The description is purely a statement of what the call returns, leaving selection entirely to inference.

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