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civilquants

List senior-QS skills

list_skills
Read-only

List the 10 senior-QS skill methodologies CivilQuants exposes (tender review, risk assessment, QS measurement/contract advice, geotechnical + geo-environmental interpretation, earthworks, preliminaries, pavement design, subcontract analysis). Universal discovery — both tiers see the full list. Returns each skill's slug, title, one-line summary and tier; then call get_skill(skill=) to fetch the methodology body. The skills are paid-tier; a free caller gets a sign-up prompt from get_skill. NOTE: the document-heavy skills (tender review, the interpretation skills) need a code-execution client (Claude Code / Codex / VS Code) plus the chunking pack from get_document_pipeline to run a real tender pack — on a chat connector you can read the methodology but cannot chunk/parse files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.9/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true, and the description confirms a read operation. It adds context: both tiers see the full list, the specific return fields (slug, title, summary, tier), and the caveat about needing a code-execution client for certain skills. No contradictions.

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 highly concise: two sentences plus a note, with the purpose front-loaded. Every sentence serves a purpose, and there is no redundant information.

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

Completeness5/5

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

Given zero parameters and the presence of an output schema, the description provides all necessary context: what is listed, what fields are returned, how to proceed with get_skill, free-tier behavior, and special requirements for document-heavy skills. It is fully adequate.

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?

The input schema has zero parameters (100% coverage), so baseline is 4. The description adds value by listing the exact skills and indicating the return structure, which helps the agent understand the output without needing to inspect the output schema.

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 clearly states it lists the 10 senior-QS skill methodologies, provides specific examples, and distinguishes from the sibling tool get_skill. The verb 'list' is specific, and the resource is well-defined.

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 instructs to call this tool first for discovery, then use get_skill for detailed methodology. Also notes that free-tier users will encounter a sign-up prompt from get_skill, and that document-heavy skills require a code-execution client, providing clear when-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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes with detailed descriptions, but the large number of closely related structures (e.g., multiple wall types, drainage inlets) could cause some confusion. Descriptions are thorough, mitigating ambiguity.

Naming Consistency4/5

The majority of tools follow a consistent `compute_<noun>` pattern. However, several administrative tools use different verbs (get, list, save, etc.), introducing mild inconsistency.

Tool Count3/5

56 tools is high but defensible given the broad civil engineering domain. The set covers many specific structures and workflows, though some tools could be merged or scoped more tightly.

Completeness4/5

The tool set covers a wide range of common civil engineering tasks (walls, foundations, drainage, pavements, highways, utilities). Minor gaps exist (e.g., no explicit bridge or tunnel tool), but the core domain is well-covered.

Resources