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Tyton

Read installation state

read_conversion_installation
Read-onlyIdempotent

Reads staged callback bindings, observed verification signals and the active or paused installation state for the connected site. Read-only. A verified callback proves receipt only, not business success or permission to send live. A matching pending approve-and-start request activates automatically after every fresh current-key check; otherwise the signed-in owner activates separately. Agents cannot activate manually. Active authorization does not prove live client deployment or Meta receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint, and the 'Read-only' line largely restates that, but the description adds genuinely non-obvious interpretation warnings: a verified callback proves receipt only, matching pending approve-and-start requests activate automatically after a fresh current-key check, agents cannot activate manually, and active authorization does not prove live deployment. These materially shape how the agent should treat the returned data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the resource and read-only status in the first two sentences, then layered caveats. It is on the verbose side and packs several distinct activation-flow facts into one long sentence, but nearly every clause carries interpretive value rather than filler.

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

Completeness4/5

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

For a zero-parameter read tool with no output schema, the description does a good job naming the categories of data returned (bindings, signals, active/paused state) and warning about over-interpretation. It stops short of describing the shape of the returned payload, which is the one gap given there is no output schema.

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

Parameters4/5

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

Zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly adds no parameter detail and instead spends its words on result interpretation.

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 a specific verb (reads) and a well-defined resource (staged callback bindings, verification signals, installation state for the connected site), so the agent knows exactly what comes back. It is distinguishable from plan-oriented siblings (read_conversion_plan) but does not explicitly differentiate itself from verify_install, check_live_setup, setup_status, or get_sdk_installation.

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?

The description never says when to call this versus the many similar read tools (get_sdk_installation, setup_status, tracking_status, verify_install, check_live_setup). The remarks about activation and manual activation are behavioral context, not usage routing, so the agent is left to infer the trigger condition.

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

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