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Glama

Remove an app secret

unset_app_secret
Destructive

Stop injecting a stored secret into one app. The app restarts without it, so call this only when the app no longer needs that variable. The stored value stays in the account vault and any other app using it keeps working; deleting the stored value itself is a dashboard action. Do not report the secret as deleted, report it as removed from this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe environment variable name to stop injecting
app_idYesThe app id returned by list_apps

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description richly discloses consequences that annotations only hint at. It reveals that the app restarts, that the stored secret remains in the vault, that other apps are unaffected, and that the correct reporting semantics are 'removed from this app' rather than 'deleted.' This adds substantial behavioral context beyond the destructiveHint annotation.

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?

Each of the four sentences earns its place: the first states the action, the second provides consequence and usage condition, the third clarifies persistence semantics, and the fourth gives reporting guidance. There is no redundancy or filler, and the key scoping is front-loaded.

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

Completeness5/5

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

For a two-required-parameter mutation with no output schema and a destructiveHint annotation, the description fully covers the operational context: side effects, persistence beyond the app, effect on sibling apps, and even expected result reporting. Nothing needed for correct invocation is missing.

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 description coverage is 100%, so both parameters are already well-documented: 'name' is the environment variable name and 'app_id' is the app id from list_apps. The description adds no additional parameter-level detail beyond what the schema provides, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a precise action: 'Stop injecting a stored secret into one app.' This clearly differentiates from set_app_secret (which injects) and list_app_secrets (which enumerates). It also clarifies the exact scope ('one app') and distinguishes itself from deleting the stored value entirely.

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

Usage Guidelines5/5

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

Explicit when-to-use guidance is given: 'call this only when the app no longer needs that variable.' It also provides a when-not: the stored value should not be deleted via this tool, and deleting it is a separate dashboard action. This effectively routes the agent away from misuse.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct operation: deployment, monitoring, scaling, configuration, or listing. There is no overlap; agents can easily select the correct tool.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., deploy_app, get_app_logs, resize_database). No naming irregularities.

Tool Count5/5

12 tools cover the core operations of a deployment platform without bloat or missing essentials. The count is well-scoped.

Completeness4/5

Covers deploy, manage, scale, and monitor effectively. Missing only minor operations like deleting an app or environment variable, but the core workflow is complete.

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