browser_get_text
Extract the visible text content of the current page body for analysis, search, or data extraction.
Instructions
Return the visible text content of the page body.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Extract the visible text content of the current page body for analysis, search, or data extraction.
Return the visible text content of the page body.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the literal action and does not clarify nuances like what 'visible' means, whether it waits for page load, or if there are any side effects. Minimal behavioral context is added beyond the function itself.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no redundant wording. Every word contributes to understanding the tool's purpose, making it perfectly concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter tool with no output schema, the description adequately conveys what is returned. It could be strengthened by explicitly stating the return type (e.g., string) or behavior regarding dynamic content, but the current description is sufficient for a basic getter.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema is complete and the description need not elaborate on parameter syntax or meaning. Per the rubric, a baseline of 4 is appropriate for a no-parameter tool, and the description does not need to add anything further.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('Return') and resource ('visible text content of the page body'). It effectively distinguishes from sibling tools like browser_screenshot (visual capture) and browser_navigate (URL change), so the purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention that it is a read-only operation or contrast with browser_snapshot or browser_eval, leaving the agent without explicit usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/NolanLT/local-browser-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server