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Glama

Statement to Budget

get_job

Poll a conversion job by session_id. Status is processing, complete, or error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does disclose that the status can be processing, complete, or error, which is useful. However, it does not describe the response shape, error details, or whether repeated polling is expected beyond the implication of the word 'Poll'.

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 two short sentences with no filler, front-loading the action and the key statuses. Every word contributes to understanding the tool's core behavior.

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

Completeness3/5

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

For a simple one-parameter polling tool, the description is close to sufficient, and listing the statuses hints at the return value. However, without an output schema or annotations, it should also mention where session_id comes from and what a complete or error response contains.

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 0%, so the description must compensate. It does indicate that session_id identifies the conversion job, adding a bit of meaning beyond the bare string type. It does not explain how to obtain session_id, such as from a convert_statement response.

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 states a specific verb ('Poll') and a specific resource ('a conversion job'), and it lists the possible statuses, so the tool's purpose is clear. It does not explicitly differentiate from sibling tools like convert_statement or get_transactions, but the function is distinct enough by name and phrasing.

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 gives no guidance on when to use this tool versus convert_statement or get_transactions, and it does not mention prerequisites such as where session_id comes from. The word 'Poll' only implies that this is for checking job status after submission, but the tool does not say that explicitly.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool maps to a distinct stage of the workflow: converting/uploading a statement, polling job status, and fetching results. There is no meaningful overlap between the three actions.

Naming Consistency5/5

All tools use a consistent verb_noun snake_case pattern: convert_statement, get_job, get_transactions. The naming is predictable and easy to navigate.

Tool Count5/5

Three tools is an appropriate minimal set for a single-purpose conversion pipeline. Each tool is necessary and the server avoids extraneous or redundant functionality.

Completeness4/5

The core job lifecycle is fully covered: start a conversion, poll its status, and retrieve transactions. Minor gaps such as session history or cancellation exist, but they are not essential for the server's stated purpose.

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