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gsa_output_init

Initializes the GSA output API with specified flags, axis, case, and dataref, preparing GSA structural analysis results for retrieval.

Instructions

Initialize output API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisYes
caseYes
flagsYes
datarefYes
num1dposNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden, yet it discloses nothing: no side effects, no state mutation semantics implied by 'initialize', no required preconditions (e.g., an open case/file), and no auth or ordering constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The sentence is short and front-loaded, but its brevity reflects under-specification rather than economy — it conveys no usable information, so no sentence earns its place.

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

Completeness1/5

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

For a tool with 5 undocumented parameters and no annotations, the description is completely inadequate. The existing output schema cannot compensate for the near-total absence of input semantics and behavioral 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?

Five cryptic parameters (flags, axis, case, dataref, num1dpos) with 0% schema description coverage and no explanation in the description. The agent has no idea what any of these values should be, and four are required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Initialize output API" restates the tool name (gsa_output_init) near-verbatim with no explanation of what an 'output API' is or what initialization accomplishes. It gives no way to distinguish it from siblings like gsa_output_init_arr, gsa_output_set_stage, or gsa_output_extract.

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

Usage Guidelines1/5

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

No guidance on when to call this, in what sequence relative to the many other gsa_output_* siblings, or any prerequisites. The agent is left to guess entirely.

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