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Glama

analyze_profile_fit

Assess how well a freelancer's profile fits a specific gig to decide whether to apply and how to tailor a proposal.

Instructions

Analyze how well a user profile fits a specific gig

Args:
    profile_data: User profile information
    gig_id: ID of the gig to analyze fit for

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gig_idYes
profile_dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

C2.4/5.0
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 disclosure burden, and it says nothing about whether the analysis is read-only, how expensive or slow it is, what criteria drive the fit score, or whether profile_data is persisted. For an evaluation tool with a nested free-form input object, this is a substantial gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The one-line purpose is appropriately front-loaded and the whole definition is short. The Args block, however, consumes space while conveying no information beyond the parameter names already in the schema, so it does not earn its place.

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?

An output schema exists, so return values need not be described. But for a two-parameter tool with a nested object input and zero annotations, the description supplies no behavioral, usage, or parameter detail, leaving the agent under-informed before invocation.

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

Parameters1/5

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

Schema description coverage is 0%, and the Args block only restates the parameter names: 'profile_data: User profile information' and 'gig_id: ID of the gig to analyze fit for'. Nothing is said about the expected shape, keys, or units of profile_data despite it being an open nested object.

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 first sentence gives a specific verb (analyze) and resource (profile vs. gig fit), so an agent can tell what the tool does. However, it does not distinguish itself from close siblings such as optimize_profile, get_smart_recommendations, or calculate_pricing_strategy, which could plausibly be selected for an overlapping task.

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?

There is no statement of when to use this tool versus the many profile- and gig-related siblings. The only implicit guidance is that a profile and a gig id are both required, which the schema already enforces.

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