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tascan_register_asset

Register a physical asset (equipment, structure, vehicle, machine) in the condition ledger so it can be assessed over time. Each asset gets a longitudinal condition history with AI scoring and degradation trajectory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAsset name (e.g. "LED Wall Processor #3")
asset_typeNoType (e.g. "LED processor", "forklift", "scaffold")
project_idNo
descriptionNoContext the AI assessor should know
serial_numberNoSerial number or asset tag (unique per org)
location_descriptionNo

TDQS

A3.8/5.0
Behavior4/5

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

The description discloses that each asset gets a longitudinal condition history with AI scoring and degradation trajectory, adding behavioral context beyond the annotations. Annotations indicate readOnlyHint=false and destructiveHint=false, aligning with a creation operation. The description provides useful outcome details but does not cover authorization or rate limits.

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?

Two sentences, front-loaded with the verb and resource, and no wasted words. The description is efficient and immediately conveys the tool's purpose.

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 registration tool with no output schema, the description explains the outcome (condition history, AI scoring) but lacks details on error handling, idempotency (annotations say idempotentHint=false), prerequisites, or what happens if the asset already exists. The missing parameter documentation for two fields also reduces completeness.

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 67% (four of six parameters have descriptions). The main description does not explain individual parameters beyond the schema, and it fails to compensate for the two missing parameter descriptions (project_id, location_description). The description adds general context but not parameter-specific semantics.

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 the verb 'Register' and the resource 'physical asset in the condition ledger' with examples (equipment, structure, vehicle, machine). This differentiates it from sibling registration tools like tascan_register_agent or tascan_register_tag by specifying the asset focus.

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 implies usage before assessment tools ('so it can be assessed over time'), but lacks explicit guidance on when to use this tool versus alternatives or when not to use it. No direct comparison with siblings or exclusion criteria is provided.

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

A3.5/5.0
Disambiguation4/5

Most tools map to a distinct resource+action pair, and the descriptions clearly separate entities like tasks, subtasks, workers, invoices, zones, assets, and reports. A few close pairs (get_report vs generate_report, dispatch_instruction vs dispatch_to_agent, analyze_issue vs auto_resolve) require careful reading, but the descriptions are detailed enough to disambiguate them.

Naming Consistency4/5

The vast majority follow a tascan_verb_noun pattern with consistent create/get/list/update/delete verbs. Minor deviations like condition_history, server_info, zone_compliance, and one-word find slightly break the otherwise predictable pattern.

Tool Count1/5

At 69 tools, this is far beyond what an agent can efficiently consider, and it bundles several distinct domains into one MCP surface. Even if each tool is individually useful, the combined set is an extreme mismatch for a coherent tool interface.

Completeness4/5

The surface covers nearly the full lifecycle for projects, events, tasks, subtasks, workers, reports, invoices, zones, assets, issues, and communications. Minor gaps exist (no explicit asset updates/decommissioning, no cancel_invite, no delete_zone), but the main workflows have no dead ends.