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Glama

create_saved_search

Set up or update a recurring car search that monitors new listings, price drops, and deals, then sends alerts when matching vehicles appear.

Instructions

Create or update a saved search that the scheduler reruns; alerts fire on new matches, price drops, deals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
notesNo
paramsYesSearchParams JSON: make, model, min_year, max_year, min_price, max_price, max_mileage, transmission, drivetrain, body_style, seller_type, city, postal_code, province, radius_km, keywords, max_pages
providerNoautotrader
alert_rulesNoe.g. {price_drop_pct: 10, target_price: 6500, min_deal_score: 65, min_project_score: 70, rare_manual: true, new_listing: true}
fetch_detailsNo
scoring_profileNo
interval_minutesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It usefully discloses mutation, scheduler recurrence, and alert side effects on new matches, price drops, and deals. However, it does not clarify whether updating overwrites an existing saved search or how existing alerts are affected, which is a significant behavioral ambiguity for an upsert operation.

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 dense sentence, front-loaded with the core create/update action and no filler. The term 'deals' is somewhat vague, but overall the structure is economical for the information it conveys.

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?

Even though the output schema exists/keywords, contextual completeness is weak because the tool has 8 parameters, nested objects, no annotations, and low schema coverage. The description does not explain update targeting semantics, parameter relationships, or how to choose this tool over siblings, so an agent may still invoke it incorrectly.

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 only 25%, and the tool description does not compensate by explaining most parameters. It does not clarify name uniqueness, provider behavior, fetch_details, scoring_profile, or interval_minutes, and only loosely connects alert_rules to price drops and deals. The params field is already documented in the schema, so the description adds little parameter-level value.

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 ('Create or update') and resource ('saved search'), and adds scheduler/alert context that differentiates it from one-off search tools like search_cars and execution tools like run_saved_search. It does not explicitly name alternatives, but the persistence and recurring behavior language makes the resource clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied through 'scheduler reruns' and 'alerts fire', suggesting this tool is for recurring monitored searches. However, there is no explicit when-to-use versus alternatives, such as noting that one-time searches should use search_cars or that run_saved_search executes immediately.

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