Skip to main content
Glama

Flight Reliability

flight_reliability
Read-onlyIdempotent

Return historical route reliability. Demo mode allows selected loaded routes such as ATL-LGA, ORD-EWR, SFO-SEA, LAX-JFK, DFW-LAX, and ATL-MCO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
destYesDestination airport code, for example LGA.
monthNoOptional numeric month.
originYesOrigin airport code, for example ATL.

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered. The description adds the demo-mode restriction, which is a genuine behavioral trait beyond annotations. But it does not clarify what 'reliability' means as a metric, what happens for unsupported routes, or the historical date range covered.

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 two sentences and front-loads the core purpose before the constraint. The route list is somewhat long but carries necessary demo-mode information. Nothing is wasted, though the enumeration could arguably be condensed.

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 read-only query tool with only three well-documented parameters and safety annotations, the description covers the basics. However, there is no output schema, so the agent must infer what a reliability result looks like; the meaning of the reliability metric and the behavior on unsupported routes are also left unspecified. Adequate but with clear gaps.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value by listing concrete origin-destination pairs (ATL-LGA, ORD-EWR, etc.) that are actually loadable in demo mode, which tells the agent which parameter combinations will succeed beyond the schema's generic format examples. This justifies one point above baseline.

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 opens with a clear verb-plus-resource statement: 'Return historical route reliability.' The word 'route' helps separate it from the sibling flight_airline_reliability. However, it does not explicitly distinguish itself from overlapping siblings like flight_cancellation_risk, flight_route_summary, or flight_route_best_times, so it stops short of full differentiation.

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?

The description provides operational context by noting that 'Demo mode allows selected loaded routes' and enumerates the six supported route pairs. This implies when the tool can actually return data in demo environments, but it never states when to prefer this tool over the related flight tools or what conditions would select an alternative.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.2/5.0
Disambiguation2/5

Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.

Naming Consistency4/5

All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).

Tool Count1/5

129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.

Completeness4/5

Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.

Resources