Skip to main content
Glama

accept_dialog

Accept and close browser dialogs such as alerts, confirms, or prompts. Use promptText to input text for prompt dialogs.

Instructions

Accept browser dialog. Provide promptText for prompts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptTextNoText for prompt dialogs
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 burden. It fails to disclose important behavioral traits such as whether accepting an alert vs. prompt behaves differently, what happens if no dialog is present, or if the action is destructive. The minimal description leaves significant gaps.

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 extremely concise with only two sentences and no extraneous information. Every word earns its place.

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

Completeness3/5

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

Given the tool's simplicity (one optional parameter, no output schema, no nested objects) and the presence of a sibling 'dismiss_dialog', the description is minimally complete. It explains the core function but omits details like error handling or behavior on different dialog types, which a context-aware agent would benefit from.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers the only parameter with a description 'Text for prompt dialogs'. The description adds 'Provide promptText for prompts' which essentially repeats the schema information. With 100% schema coverage, the description adds no new value, so a baseline of 3 is appropriate.

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 states 'Accept browser dialog' which is a clear verb-resource pairing. It distinguishes from the sibling tool 'dismiss_dialog' by indicating acceptance rather than dismissal. However, it does not specify which dialog types (alert, confirm, prompt) are supported, though 'promptText' hints at prompt dialogs.

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

Usage Guidelines3/5

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

The description advises to 'Provide promptText for prompts', giving context for when to use the parameter. However, it does not explicitly state when to use this tool versus alternatives like 'dismiss_dialog' or what to do if the dialog is not a prompt.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/simon-ami/zen-devtools-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server