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execute-query

execute-query

Run SQL queries directly on Firebird databases with parameterized input to prevent injection and use FIRST/ROWS for pagination instead of LIMIT.

Instructions

Executes a SQL query in the Firebird database. Uses FIRST/ROWS for pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesSQL query to execute (Firebird uses FIRST/ROWS for pagination instead of LIMIT)
paramsNoParameters for parameterized queries to prevent SQL injection
Behavior2/5

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

With no annotations, the description carries full burden of behavioral disclosure. It only mentions pagination via FIRST/ROWS but fails to indicate that arbitrary SQL may be executed, including destructive DML, or to warn about permissions and side effects. This is a significant gap for a mutation-capable tool.

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: one sentence stating the core purpose and one sentence adding a key behavioral detail. Every part earns its place with no redundancies.

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?

Given the absence of an output schema and the tool's ability to execute potentially complex queries, the description lacks crucial information such as return format, error behavior, or supported SQL types. It is not complete for an AI agent to safely and effectively use the tool.

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 schema already describes both parameters thoroughly (sql with pagination hint, params for injection prevention). The description adds only the pagination hint, which is already in the schema. Thus, the description provides minimal additional semantic value beyond the schema.

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 clearly states the action (executes) and resource (SQL query) with the specific database (Firebird). It also hints at pagination. However, it does not explicitly distinguish from the sibling tool 'execute-batch-queries' which executes multiple queries, leaving some ambiguity for an AI agent.

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 provides no guidance on when to use this tool versus alternatives like execute-batch-queries or get-table-data. It does not mention any constraints, prerequisites, or contexts where this tool is appropriate or inappropriate.

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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