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Ashton & Forge Agency Directory

Search Agencies Tool

search_agencies

Read-only. Filter the vetted agency listings by what they do and who they do it for. Every filter is optional; passing none returns the whole directory.

Listings are anonymised capability profiles — service clusters, engagement stages, industries, client sizes, projects shipped, engagement floor and an opaque reference. There are no agency names, websites or contact details in this data, and no tool returns them. Say so plainly rather than implying the result is partial.

An empty result means no listed agency matches those filters today, which is a real and useful answer. Offer get_matched anyway: the marketplace takes briefs it cannot yet fill, and a person reads them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
industryNoOne of: professional_services, distribution_logistics, manufacturing, healthcare, legal_financial, real_estate, technology, ecommerce, other. Agencies that work across all industries match any value.
client_sizeNoOne of: smb, mid_market, enterprise. The size of company the agency serves.
service_clusterNoOne of: workflow, data, governance, growth. The kind of work.
engagement_stageNoOne of: exploring, pilots, production, sophisticated. How far along the buyer is with AI.
max_budget_floorNoOne of: none, 25k_plus, 100k_plus, 500k_plus. Returns agencies whose minimum engagement is at or below this, plus any that state no minimum.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses read-only behavior, the anonymised nature of results, that no tool returns names or contact details, and that an empty result is a real answer. It does not cover pagination, ordering, or response format, but the important boundary conditions are transparent.

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?

The description is front-loaded with the core purpose and read-only nature, then adds necessary caveats about anonymised data, empty results, and the get_matched alternative. Every sentence earns its place, including the agent-facing instruction about not implying partial results.

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?

Given the lack of an output schema, the description adequately lists the fields present in results and explains the no-match behavior. It also references the relevant sibling tool get_matched. It could additionally describe result ordering or size limits, but for this tool's complexity the description is largely complete.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents each parameter's allowed values and meaning. The description adds useful framing about optional filters and directory-wide behavior, but does not need to repeat parameter syntax. Baseline 3 is appropriate.

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?

States a specific verb and resource: 'Filter the vetted agency listings by what they do and who they do it for.' The description also clarifies the data is anonymised and distinguishes behavior from get_matched, so an agent can tell what this tool is for.

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

Usage Guidelines5/5

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

Explicitly says every filter is optional and passing none returns the whole directory. It also explains what an empty result means and directs the agent to offer get_matched as the alternative, giving clear when-to-use and when-not-to-use guidance.

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

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct role: directory_summary explains marketplace coverage, search_agencies filters anonymized listings, and get_matched provides the buyer's next step. There is no meaningful overlap or risk of an agent selecting the wrong tool.

Naming Consistency3/5

All names are lower_snake_case and readable, but the semantic pattern is mixed: directory_summary is a noun phrase, get_matched uses a past-participle object, and search_agencies follows verb_noun. This is inconsistent but not chaotic.

Tool Count5/5

Three tools is well-scoped for a read-only directory and matching service. Each tool earns its place: orient, search, and match.

Completeness5/5

The tool surface covers the full user journey for this anonymised marketplace: understand what the directory covers, search/filter listings, and get the matching brief URL. There are no dead ends or obvious missing operations for the stated purpose.

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