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Glama

gsa_output_is_dataref

Checks Output_Init flags to determine whether they identify a data reference, helping GSA COM integrations validate output results.

Instructions

Check dataref characteristics from Output_Init.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flagsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior2/5

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, and it discloses almost nothing: not whether this is a read-only query, whether it can fail, what the flags encoding means, or what 'dataref characteristics' are returned. The presence of an output schema covers the return shape but not the semantics.

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

Conciseness3/5

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

One short sentence with no padding and the key phrase front-loaded, which is structurally fine. Its brevity is under-specification rather than efficient conciseness, so it earns only a middle score.

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?

For a one-parameter tool with an opaque integer input, no annotations, and a lifecycle dependency on Output_Init, the description is missing the flag encoding and the ordering requirement. The output schema relieves it of explaining return values, but the critical calling information is absent.

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?

The single required parameter 'flags' has 0% schema description coverage and the description says nothing about it — no bit layout, no valid values, no relation to Output_Init. With low coverage the description must compensate and it does not.

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

Purpose3/5

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

The description names a verb ('Check') and a resource ('dataref characteristics'), which is more than the bare name, and it ties the call to the Output_Init sibling. However, 'dataref' is unexplained jargon and 'characteristics' does not say whether this is a boolean predicate or a property lookup, so it does not clearly separate itself from siblings like gsa_output_data_exist or gsa_output_init.

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?

'from Output_Init' weakly implies it is used after that initializer, but there is no explicit when-to-use, no prerequisite statement, and no alternative named (e.g. gsa_output_data_exist vs this). An agent must guess the ordering and selection rationale.

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