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Track Application

track_application

Upsert job application records into Airtable and CSV backup to maintain an auditable submission history.

Instructions

Upsert an application in Airtable when configured and in the CSV backup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the core write behavior ('Upsert'), the persistence targets (Airtable and CSV backup), and a conditional ('when configured'). It does not however explain what happens when configuration is absent, whether the operation is idempotent beyond the word 'upsert', or what side effects occur on existing records.

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 sentence with no filler, which is appropriately concise. It front-loads the main action and includes the key storage targets, though the ambiguous 'when configured and in the CSV backup' phrasing slightly reduces structural clarity.

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 nested, undocumented 'record' parameter and no annotations, the description is not complete enough for an agent to confidently construct a valid call. An output schema exists, so return values are presumably covered, but the input contract and behavioral caveats are largely absent.

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?

The schema provides 0% description coverage for the single 'record' object, so the description must compensate. It adds the general semantic that the record is an application object, but it does not specify required fields, nested structure, or validation rules for an object with additionalProperties: true.

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 uses a specific verb ('Upsert') and a clear resource ('an application in Airtable... CSV backup'), so an agent can infer the core action. However, it does not explicitly compare itself to sibling tools like save_application_snapshot or assess_submission, so differentiation is only implicit through the storage targets.

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 given about when to use this tool versus alternatives such as save_application_snapshot or verify_snapshot. The phrase 'when configured' hints at a condition, but it is ambiguous and does not explain what configuration is required or when a different tool should be chosen.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.