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fl_login

Signs in on an open sign-in form using saved passwords from the browser or a configured password manager CLI, filling username, password, and one-time codes without exposing secrets.

Instructions

Sign in on the open sign-in form with the user's saved password: from the browser's own password manager, or from a password manager CLI the user configured (1Password, Bitwarden, custom command). Flintrail fills username, password and one-time code itself; the secrets never reach you. A CLI login is only filled when the page domain matches its website. On a multi-step sign-in (e-mail page, then password page), call it on each step. While recording, the flow stores the source and login ID, never a secret.

Input Schema

NameRequiredDescriptionDefault
maxNoMax interactive elements listed (default 150).
tabYes
itemNoLogin ID, title or username in a password manager CLI, when several match the site.
textNoCharacters of page text to include (default 600, 0 for none).
sourceNoOnly this source: browser, 1password, bitwarden or command.
submitNoPress Enter after filling (default true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses that secrets never reach the agent, explains domain matching for CLI logins, covers multi-step behavior, and notes that recording stores only source and login ID. It does not describe failure behavior, what happens after submit navigation, or the returned result.

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 front-loaded with the core action and then layers on secret handling, CLI constraints, multi-step guidance, and recording behavior. Every sentence adds relevant information without redundant repetition.

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?

For a login tool with six parameters, no annotations, and no output schema, the description covers the key secret-handling and multi-step behavior. However, it does not describe what the tool returns or how success/failure is surfaced, leaving a meaningful gap given the absence of an output schema.

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?

Schema coverage is high at 83%, so the schema already documents most parameters. The description adds useful context about CLI domain matching and multi-step invocation, but it largely repeats the source behavior already captured by the schema and does not explain max or text beyond their schema descriptions.

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 a specific verb and resource: sign in on an open sign-in form using saved credentials. It clearly differentiates the tool by explaining that Flintrail itself fills username, password, and one-time code from browser or CLI password managers. However, it does not explicitly name a sibling alternative for non-login form interaction.

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

Usage Guidelines4/5

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

It gives clear usage context: use it on an open sign-in form, call it on each step of a multi-step sign-in, and only apply CLI logins when the page domain matches the CLI website. It stops short of naming alternatives such as fl_act for generic form filling or stating explicit when-not-to-use conditions beyond the CLI domain restriction.

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