Skip to main content
Glama

table_selected_rows

Retrieve selected table rows as key-value text mappings for UI testing evidence.

Instructions

Return selected rows of a tested table as key/value text mappings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
titleNo
session_idNodefault-18

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.3

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It states the action and return format but does not disclose side effects, preconditions (e.g., existing selection), error behavior, or whether it's read-only. Minimal value beyond the basic action.

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?

The description is a single sentence with no fluff, front-loading the core purpose and output format. It is maximally concise and well-structured.

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 3-parameter tool with no output schema and no annotations, this description is severely incomplete. It omits parameter semantics, selection prerequisites, and what 'tested table' refers to, leaving critical information missing for an agent to call it correctly.

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%, and the description fails to explain any of the three parameters (name, title, session_id). The agent has no clues about what these mean or how to use them, making correct invocation nearly impossible without external knowledge.

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 verb 'Return' and the resource 'selected rows of a tested table', distinguishing it from siblings like table_rows (all rows) and table_current_row (current row). However, 'tested table' is vague and could confuse agents about which table context applies.

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?

No mention of when to use this tool versus alternatives like table_rows or table_current_row. The description provides no context on selection prerequisites or when this tool is preferable, leaving the agent to guess.

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

Deploy Server

Other Tools