Skip to main content
Glama

Search Sewer Records

search_sewer_records
Read-onlyIdempotent

1:1 wrapper for /api/sewer/. Search sewer assets, as-builts, and easements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bookNo
dateNo
pageNoSewer easement page field.
typeYes
countNo
unitIdNoMaps to unit_id.
compkeyNo
jobNameNoMaps to job_name.
pageNumNoPagination page; maps to page.
commentsNo
downloadNo
locationNo
jobNumberNoMaps to job_number.
quitClaimNoMaps to quit_claim.
sortFieldNoMaps to sort_field.
sortOrderNoMaps to sort_order.
rightOfWayNoMaps to right_of_way.
extraParamsNo
quarterSectionNoMaps to quarter_section.
trackingNumberNoMaps to tracking_number.
ordinanceNumberNoMaps to ordinance_number.
workOrderNumberNoMaps to work_order_number.
tvInspectionNumberNoMaps to tv_inspection_number.
serviceRequestNumberNoMaps to service_request_number.

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds '1:1 wrapper' but no additional behavioral context like pagination behavior or result limits beyond schema constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (one sentence), which is concise but may omit necessary details. It is front-loaded with the purpose but could be expanded without becoming verbose.

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

Completeness2/5

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

With 24 parameters, no output schema, and a complex API, this description is insufficient. It does not explain pagination (pageNum, count), download behavior, or the meaning of optional filter fields like location, compkey, etc.

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 coverage is 63%, meaning many parameters lack descriptions. The description does not clarify any parameters beyond naming the search categories. It adds little value over the schema.

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 clearly states it searches sewer assets, as-builts, and easements, matching the title. It distinguishes from sibling tools focused on other data types like land use cases or Portland Maps details.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. With 11 sibling tools, explicit context about when to prefer search_sewer_records over others is missing.

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

B3.3/5.0
Disambiguation4/5

Most tools target distinct data types (assessor, permits, land use, sewer, geometry, etc.), but get_portlandmaps_detail overlaps conceptually with the specific search tools as a generic detail fetcher. This could cause confusion about which tool to use for a particular record.

Naming Consistency4/5

The vast majority follow a verb_noun snake_case pattern. However, two tools (get_portlandmaps_detail, suggest_portlandmaps_address) redundantly include the server name, breaking the otherwise consistent naming scheme.

Tool Count5/5

11 tools cover a broad range of Portland city data and GIS operations. The count is well-scoped for the domain—neither too sparse nor excessive.

Completeness4/5

The server covers major data categories like assessor, permits, land use, sewer, geometry, and spatial queries. Potential gaps like explicit zoning or code lookups might exist, but the set is largely comprehensive for typical PortlandMaps queries.

Resources