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Airgap-fleet

db-bridge

by Airgap-fleet

execute

Run parameterized INSERT, UPDATE, or DELETE statements against PostgreSQL to modify data securely, preventing SQL injection.

Instructions

Execute a parameterized INSERT, UPDATE, or DELETE statement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesParameterized DML SQL statement (use $1, $2, etc. for parameters)
paramsNoOptional list of statement parameters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv1.0.3

TDQS

B3.1/5.0
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 of behavioral disclosure. It states that the tool executes DML statements, which implies a write/update behavior, but does not disclose side effects such as whether changes are committed automatically, whether transactions are supported, or what happens on failure. It also does not clarify if SELECT is prohibited, which is a notable behavioral gap.

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?

The description is a single, concise sentence that efficiently conveys the core purpose. It avoids unnecessary jargon and front-loads the verb. It is not overly verbose, but it lacks additional context that could be valuable.

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

Completeness2/5

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

With no annotations and an output schema present but not described, the description leaves important gaps: it does not explain the return value, error behavior, or transaction semantics. For a DML execution tool, these are critical for safe invocation. The description is minimal and does not fully cover what an agent needs to know.

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 the parameters 'sql' and 'params' are fully documented in the schema. The description adds minimal semantic value beyond naming the statement types, but it does reinforce the parameterized nature. The baseline of 3 is appropriate since the schema carries the parameter details.

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 'Execute a parameterized INSERT, UPDATE, or DELETE statement' clearly identifies the operation type (DML execution) and the resource (SQL statements). It is specific about the allowed statement types, which helps distinguish it from generic 'execute' tools. However, it does not explicitly contrast with sibling tools or mention any read-only query capability, leaving slight ambiguity in broader contexts.

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 implies usage for DML operations but does not explicitly state when to use this tool versus alternatives (e.g., a dedicated query tool for SELECT). It lists the supported statement types, which gives some context, but lacks explicit exclusions or alternative tool references. The agent must infer that SELECT statements are not intended here.

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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