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Glama

get_text

Extract readable main text from a live browser page, preferring or a single , with an optional character limit for concise content.

Instructions

Readable main text of the page (prefers or a single ).

Input Schema

NameRequiredDescriptionDefault
tab_idNo
max_charsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
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 usefully discloses a content-selection heuristic (prefers <main>/single <article>), but omits fallback behavior, truncation via max_chars, and tab targeting.

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?

A single front-loaded sentence with zero filler. It is appropriately sized for a simple extraction tool.

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?

Given two undocumented parameters, no annotations, and no output schema, the one-sentence description is too thin. It does not cover parameter behavior or expected return shape.

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%. Neither tab_id nor max_chars is explained in the description, leaving the agent to guess whether tab_id defaults to the active tab and how max_chars truncates the output.

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?

States what it returns: readable main text, with an extraction preference for <main> or a single <article>. This distinguishes it from broader siblings like read_page, though it does not explicitly name alternatives.

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 guidance on when to use this tool versus read_page, screenshot, or scroll. There are no prerequisites, exclusions, or alternative-routing hints.

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