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susheel

Synapse MCP Server

query_table

Execute SQL queries on Synapse tables to retrieve and analyze structured data through programmatic access to the Synapse data platform.

Instructions

Query a Synapse table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
table_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries full burden but offers no behavioral details. It doesn't disclose if this is a read-only operation, requires authentication, has rate limits, affects data, or what the response entails (e.g., format, pagination). This leaves critical behavioral traits unknown.

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 a single, efficient sentence with no wasted words, making it appropriately sized and front-loaded. It directly states the tool's function without unnecessary elaboration.

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 tool's complexity (querying a database table), no annotations, 0% schema coverage, and an output schema (which helps but isn't described), the description is incomplete. It lacks essential context such as query language, permissions, or behavioral traits, making it inadequate for effective use.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate but adds no parameter semantics. It doesn't explain what 'query' and 'table_id' represent (e.g., query syntax, table identifier format), leaving both parameters undocumented beyond their titles in the schema.

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

Purpose3/5

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

The description 'Query a Synapse table' states the action (query) and resource (Synapse table), which provides a basic purpose. However, it's vague about what 'query' entails (e.g., SQL-like queries, filtering, aggregation) and doesn't distinguish it from sibling tools like 'query_entities' or 'search_entities', leaving ambiguity in scope.

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?

No guidance is provided on when to use this tool versus alternatives such as 'query_entities' or 'search_entities'. The description lacks context about prerequisites, typical use cases, or exclusions, offering no help in tool selection among siblings.

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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