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generate_proxies

Generate ready-to-use proxy endpoint strings (credentials included) from one of the account's active proxy services — any type: residential, mobile, datacenter, ISP, IPv6. Supports geo targeting (country/state/city, ISP or ASN where the plan allows it), rotating or sticky sessions, HTTP or SOCKS5, and several output formats. Use list_proxies first to get the orderId, and proxy_locations for valid targeting codes. The returned strings plug straight into any HTTP client, e.g. curl -x.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipNoMobile V2 only: a whitelisted IP (see whitelist_ip) to fetch the IP-auth proxy list instead of user:pass proxies
asnNoASN for Residential/Datacenter Basic targeting, e.g. 'AS12345'
ispNoISP code for Residential Premium / Mobile V2 targeting (from proxy_locations tree, e.g. 'tmobile')
cityNoCity (slug from proxy_locations where applicable; 'all' for any)
stateNoState/region (Residential Premium & Mobile V2: use the slug from proxy_locations; 'all' for any)
filterNoResidential Premium / Mobile V2 pool filter (omit for the full pool)
formatNoOutput string format (default user:pass@host:port)
strictNoResidential/Datacenter Basic: true allows fallback to nearby locations when the exact target has no IPs
countryNoCountry code for geo targeting, lowercase, e.g. 'us'
gatewayNoMobile V2 region gateway (default ww)
orderIdYesThe proxy service's orderId (from list_proxies)
protocolNoProxy protocol (default http)
quantityNoNumber of proxy strings (default 10)
rotationNorotating (default): new IP per request. sticky: keep the IP for sessionTime. static: IPv6 only, fixed session with no TTL.
sessionTimeNoSticky session duration in minutes (default 10; Residential Basic/Datacenter minimum 3)

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already signal readOnlyHint=false and destructiveHint=false. The description adds useful behavioral context: generated strings include credentials, are ready-to-use, and 'plug straight into any HTTP client, e.g. curl -x'. It does not mention potential side effects like quota consumption, but it does not contradict annotations.

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?

Four focused sentences: purpose, supported capabilities, prerequisites, and output usability. Every sentence earns its place, with the most important action and resource stated first. No filler or repetition of schema details.

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

Completeness4/5

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

For a tool with 15 parameters and no output schema, the description covers the essential context: what it produces, which sibling tools supply required inputs, supported modes, and how the output can be consumed. It does not explicitly state that the result is an array, but the quantity parameter and 'proxy endpoint strings' phrasing make that inferable.

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 beyond the schema by mapping orderId to list_proxies and targeting codes to proxy_locations, which helps an agent know where parameter values come from. It also usefully summarizes geo targeting and output format capabilities, though the schema already documents individual fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Generate ready-to-use proxy endpoint strings (credentials included) from one of the account's active proxy services'. It also lists the covered proxy types and clearly separates this tool from sibling tools like list_proxies and proxy_locations by focusing on generation of endpoint strings.

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

Usage Guidelines4/5

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

Explicitly says 'Use list_proxies first to get the orderId, and proxy_locations for valid targeting codes,' giving clear sequencing and prerequisite guidance. It does not enumerate when to avoid this tool, but the prerequisite direction is clear enough to prevent improper use.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: single scrape, batch scrape, crawl, search, dataset creation, parser lifecycle, proxy management, and SEO audit. Even the five status pollers are clearly differentiated by job type and their descriptions explicitly state which job they poll, so an agent can reliably select the right tool.

Naming Consistency4/5

Most names follow a verb-first pattern (create_dataset, generate_parser, run_collector, save_parser_preset, whitelist_ip) and listing tools consistently use the 'list_' prefix. However, a few are noun-first (parser_preset_stats, proxy_locations, collector_run_status) and the status polling tool for collectors breaks the otherwise consistent '<job>_status' convention ('collector_run_status' instead of 'run_collector_status').

Tool Count3/5

At 25 tools, the set is at the upper edge of the 'heavy' range. The tools all serve distinct functions, reflecting a broad platform covering scraping, crawling, search, datasets, parsers, proxies, and SEO, but the count borders on overwhelming for an agent, and some consolidation (e.g., a generic async job status endpoint) could reduce the surface.

Completeness4/5

The tool surface covers the core data-extraction lifecycle well: discovery (map, search), acquisition (scrape, batch, crawl), structured extraction (generate_parser, save_parser_preset, parser stats/heal), proxy management, and result aggregation (datasets, collectors). Notable gaps are the absence of any cancellation/abort mechanism for long-running async jobs and no way to delete a parser preset, but these are minor for most workflows.